text:
comes_Factors%20influencing.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4},
rating = {0}
}

@article{Dunlop:2010p12760,
author = {Boadie W Dunlop and Thomas Li and Susan G Kornstein and Edward S Friedman and Anthony J Rothschild and Ron Pedersen and Philip Ninan and Martin Keller and Madhukar H Trivedi},
journal = {J Psychiatr Res},
title = {Concordance between clinician and patient ratings as predictors of response, remission, and recurrence in major depressive disorder},
abstract = {We conducted a secondary analysis of data from the Prevention of Recurrent Episodes of Depression With Venlafaxine Extended Release (ER) for Two Years (PREVENT) trial to evaluate whether discrepancies between clinician and patient ratings of depression severity were predictive of response, remission, and recurrence during treatment for a depressive episode. Patients who self-rated depression severity in concordance with the clinician ("concordant patients") were defined as having a standardized patient-rated Inventory of Depressive Symptoms-Self Report (IDS-SR(30)) score minus standardized clinician-rated Hamilton Rating Scale for Depression (HAM-D(17)) score <1 SD from mean. Non-concordant patients ("underrating patients" [-1 SD], "overrating patients" [+1 SD]) were identified. Cohorts were compared for remission and response on the HAM-D(17), Clinician Global Impression--Severity (CGI-S), and IDS-SR(30) during acute and continuation therapy and time to recurrence during maintenance therapy. During acute treatment female patients were more likely to overrate their depression severity compared to the clinician; older age predicted overrating during continuation treatment. Overrating patients had a slower onset of response on the HAM-D(17) during acute treatment (P=0.004). There were no differences between cohorts for remission or response on the HAM-D(17) or CGI-S. Overrating patients at week 10 had lower remission and response rates on the IDS-SR(30) during continuation therapy (32% and 50%, respectively; P</=0.001) compared with underrating patients (76%, 77%) or concordant patients (64%, 78%). Patient concordance at the end of continuation therapy did not predict recurrence during maintenance therapy, indicating that patient rating scales may be useful in tracking recurrence during maintenance therapy. Poor agreement between patient- and clinician-ratings of depression severity is primarily a state phenomenon, although it is trait-like for some patients.},
affiliation = {Department of Psychiatry, Emory University School of Medicine, 1256 Briarcliff Road, Building A, 3rd Floor, Atlanta, GA 30306, USA.},
pages = {},
year = {2010},
month = {May},
language = {ENG},
date-added = {2010-06-15 22:52:23 +0200},
date-modified = {2010-06-15 22:52:23 +0200},
doi = {10.1016/j.jpsychires.2010.04.032},
pii = {S0022-3956(10)00142-1},
pmid = {20537348},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Dunlop-2010-J%20Psychiatr%20Res_Concordance%20between.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12760},
rating = {0}
}

@article{Smith:2007,
author = {Adam B Smith and Penny Wright and Peter J Selby and Galina Velikova},
journal = {Health Qual Life Outcomes},
title = {A Rasch and factor analysis of the Functional Assessment of Cancer Therapy-General (FACT-G).},
abstract = {BACKGROUND: Although the Functional Assessment of Cancer Therapy--General questionnaire (FACT-G) has been validated few studies have explored the factor structure of the instrument, in particular using non-sample dependent measurement techniques, such as Rasch Models. Furthermore, few studies have explored the relationship between item fit to the Rasch Model and clinical utility. The aim of this study was to investigate the dimensionality and measurement properties of the FACT-G with Rasch Models and Factor analysis. METHODS: A factor analysis and Rasch analysis (Partial Credit Model) was carried out on the FACT-G completed by a heterogeneous sample of cancer patients (n = 465). For the Rasch analysis item fit (infit mean squares > or = 1.30), dimensionality and item invariance were assessed. The impact of removing misfitting items on the clinical utility of the subscales and FACT-G total scale was also assessed. RESULTS: The factor analysis demonstrated a four factor structure of the FACT-G which broadly corresponded to the four subscales of the instrument. Internal consistency for these four scales was very good (Cronbach's alpha 0.72 - 0.85). The Rasch analysis demonstrated that each of the subscales and the FACT-G total scale had misfitting items (infit means square > or = 1.30). All these scales with the exception of the Social {\&} Family Well-being Scale (SFWB) were unidimensional. When misfitting items were removed, the effect sizes and the clinical utility of the instrument were maintained for the subscales and the total FACT-G scores. CONCLUSION: The results of the traditional factor analysis and Rasch analysis of the FACT-G broadly agreed. Caution should be exercised when utilising the Social {\&} Family Well-being scale and further work is required to determine whether this scale is best represented by two factors. Additionally, removing misfitting items from scales should be performed alongside an assessment of the impact on clinical utility.},
affiliation = {Psychosocial {\&} Clinical Practice Research Group, Cancer Research UK Clinical Centre, St. James's University Hospital, Leeds, UK. a.b.smith@leeds.ac.uk},
pages = {19},
volume = {5},
year = {2007},
language = {eng},
date-added = {2010-01-03 19:38:21 +0100},
date-modified = {2010-07-29 19:58:39 +0200},
doi = {10.1186/1477-7525-5-19},
pii = {1477-7525-5-19},
pmid = {17448239},
URL = {http://dx.doi.org/10.1186/1477-7525-5-19},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Smith-2007-Health%20Qual%20Life%20Outcomes_A%20Rasch%20and%20factor%20a.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1175},
rating = {0}
}

@article{Blakemore:2008p4827,
author = {Sarah-Jayne Blakemore},
journal = {Nat Rev Neurosci},
title = {The social brain in adolescence},
abstract = {The term 'social brain' refers to the network of brain regions that are involved in understanding others. Behaviour that is related to social cognition changes dramatically during human adolescence. This is paralleled by functional changes that occur in the social brain during this time, in particular in the medial prefrontal cortex and the superior temporal sulcus, which show altered activity during the performance of social cognitive tasks, such as face recognition and mental-state attribution. Research also indicates that, in humans, these parts of the social brain undergo structural development, including synaptic reorganization, during adolescence. Bringing together two relatively new and rapidly expanding areas of neuroscience--social neuroscience and the study of brain development during adolescence--will increase our understanding of how the social brain develops during adolescence.},
affiliation = {Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, WC1N 3AR, UK. s.blakemore@ucl.ac.uk},
number = {4},
pages = {267--77},
volume = {9},
year = {2008},
month = {Apr},
language = {eng},
keywords = {Brain Mapping, Adolescent, Social Behavior, Adolescent Behavior, Humans, Recognition (Psychology), Psychophysiology, Brain, Neural Pathways},
date-added = {2010-02-01 20:21:37 +0100},
date-modified = {2010-02-01 20:21:37 +0100},
doi = {10.1038/nrn2353},
pii = {nrn2353},
pmid = {18354399},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Blakemore-2008-Nat%20Rev%20Neurosci_The%20social%20brain%20in.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4827},
rating = {0}
}

@article{Zwicker:2008p12036,
author = {Jill Glennis Zwicker and Susan Richardson Harris},
journal = {Pediatrics},
title = {Quality of life of formerly preterm and very low birth weight infants from preschool age to adulthood: a systematic review},
abstract = {OBJECTIVE: The goal of this systematic review was to synthesize studies that examined the health-related quality of life of preschool- and school-aged children, adolescents, and young adults who were born preterm and/or at very low birth weight. METHODS: We searched 7 databases up to September 2006 (Medline, PubMed, Embase, EBM Reviews, Cumulative Index of Nursing and Allied Health Literature, PsycINFO, and the Educational Resource Information Center) as well as gray literature sources. We independently screened studies and included them only if a quality-of-life outcome measure was used and findings compared preterm, very low birth weight, or extremely low birth weight infants with term or normal birth weight peers. We independently assessed the methodologic quality of each study by using criteria adapted from the Centre for Reviews and Dissemination. RESULTS: Fifteen cohort or cross-sectional studies met the review criteria. In 6 studies of preschool-aged children, differences were found between study and control groups, suggesting that many preschool children born preterm or at very low birth weight perform more poorly than their peers in physical, emotional, and/or social functioning. Extremely low birth weight school-aged children had lower health utility scores compared with their peers, and similar results were found for adolescents. Parents of preterm and very low birth weight teens noted significantly poorer performance in their child's global health, behavior, and physical functioning, whereas the teenagers themselves did not. In young adulthood, differences in physical functioning remained, but subjective quality of life was similar to normal birth weight peers. CONCLUSIONS: The effects of preterm birth/very low birth weight on health-related quality of life seem to diminish over time, which possibly reflects issues related to a child's report versus a parent-proxy report, differing definitions of health-related quality of life, and adaptation of individuals over time, versus true change in health-related quality of life.},
affiliation = {School of Rehabilitation Sciences, University of British Columbia, T325-2211, Wesbrook Mall, Vancouver, British Columbia, Canada V6T 2B5. jzwicker@interchange.ubc.ca},
number = {2},
pages = {e366--76},
volume = {121},
year = {2008},
month = {Feb},
language = {eng},
keywords = {Child, Infant: Extremely Low Birth Weight, Infant: Very Low Birth Weight, Quality of Life, Adult, Health Status, Infant: Newborn, Adolescent, Child: Preschool, Follow-Up Studies, Humans, Infant: Premature},
date-added = {2010-05-24 10:31:07 +0200},
date-modified = {2010-05-24 10:31:07 +0200},
doi = {10.1542/peds.2007-0169},
pii = {121/2/e366},
pmid = {18245409},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12036},
rating = {0}
}

@article{Meilijson:2009p2979,
author = {Isaac Meilijson and Sara Meilijson},
journal = {Stat Med},
title = {Coping with participant heterogeneity in dichotomous responses},
abstract = {Participant heterogeneity induces spurious dependence that may obscure dependence patterns displayed by a covariance matrix. A parsimonious method is proposed for the reduction of this confounding effect. The method is applied to dichotomous behavioral response data of participants diagnosed with schizophrenia, as assessed by the Pragmatic Protocol (J. Speech Hear. Disord. 1987; 52:105-119).},
affiliation = {School of Mathematical Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel.},
number = {15},
pages = {2042--53},
volume = {28},
year = {2009},
month = {Jul},
language = {eng},
keywords = {Humans, Severity of Illness Index, Schizophrenia, Language, Data Interpretation: Statistical, Confounding Factors (Epidemiology)},
date-added = {2010-01-13 23:12:52 +0100},
date-modified = {2010-03-07 11:07:56 +0100},
doi = {10.1002/sim.3597},
pmid = {19455574},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Meilijson-2009-Stat%20Med_Coping%20with%20particip.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2979},
rating = {3}
}

@article{Staples:2010p5072,
author = {Kerri L Staples and Greg Reid},
journal = {J Autism Dev Disord},
title = {Fundamental movement skills and autism spectrum disorders},
abstract = {Delays and deficits may both contribute to atypical development of movement skills by children with ASD. Fundamental movement skills of 25 children with autism spectrum disorders (ASD) (ages 9-12 years) were compared to three typically developing groups using the Test of Gross Motor Development (TGMD-2). The group matched on chronological age performed significantly better on the TGMD-2. Another comparison group matched on movement skill demonstrated children with ASD perform similarly to children approximately half their age. Comparisons to a third group matched on mental age equivalence revealed the movement skills of children with ASD are more impaired than would be expected given their cognitive level. Collectively, these results suggest the movement skills of children with ASD reflect deficits in addition to delays.},
affiliation = {Department of Kinesiology and Physical Education, McGill University, Montreal, QC, Canada. kerri.staples@uregina.ca},
number = {2},
pages = {209--17},
volume = {40},
year = {2010},
month = {Feb},
language = {eng},
date-added = {2010-02-05 20:14:17 +0100},
date-modified = {2010-07-29 19:32:09 +0200},
doi = {10.1007/s10803-009-0854-9},
pmid = {19685284},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5072},
rating = {0}
}

@article{Kipman:2002p1331,
author = {A Kipman and L Bruins-Slot and C Boni and N Hanoun and J Ad{\`e}s and P Blot and M Hamon and M Mouren-Sim{\'e}oni and P Gorwood},
journal = {Eur Psychiatry},
title = {5-HT(2A) gene promoter polymorphism as a modifying rather than a vulnerability factor in anorexia nervosa},
abstract = {The A allele of the 5-HT(2A) gene (-1438A/G polymorphism) has been associated with anorexia nervosa in four studies, but not in three others. One possibility to explain such a discrepancy is that the A allele acts as a modifying rather than a vulnerability allele. To test this hypothesis, we increased our initial sample of 102 trios left open bracket Mol. Psychiatry 7 (2002) 90 right open bracket with 43 new patients with anorexia nervosa and 98 healthy controls. In addition to confirming the absence of association on the global sample of 145 patients, we found that patients with the A allele had a significantly later age at onset of the disease (P = 0.032). Furthermore, the A allele was also transmitted with an older age at onset (P = 0.023) using a quantitative-trait TDT approach. The A allele may thus act as a modifying factor (delaying onset), potentially explaining variations of allele frequency across samples, in which differences in average age at onset are not only possible, but also expected. Taking into account vulnerability genes, but also genes modifying the expression of the disorder, will help to disentangle the complexity of the etiological factors involved in anorexia nervosa.},
affiliation = {H{\^o}pital Louis Mourier (AP-HP), Service de Psychiatrie, 178, rue des Renouillers, 92700 Colombes, France.},
number = {4},
pages = {227--9},
volume = {17},
year = {2002},
month = {Jul},
language = {eng},
keywords = {Promoter Regions: Genetic, Receptors: Serotonin, Pedigree, Alleles, Adult, Genetic Predisposition to Disease, Female, Body Mass Index, Age of Onset, Polymorphism: Single Nucleotide, Humans, Gene Expression, Anorexia Nervosa},
date-added = {2010-01-07 11:37:19 +0100},
date-modified = {2010-01-07 11:37:19 +0100},
pii = {S0924933802006570},
pmid = {12231269},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1331},
rating = {0}
}

@article{Kuracsky:2004p10336,
author = {L S Kuracsky and S B Malykh},
journal = {Australian Journal of Educational {\&} Developmental Psychology},
title = {Application of Markov models for analysis of development of psychological characteristics},
abstract = {A technique to study combined influence of environmental and genetic factors on the base of changes in phenotype distributions is presented. Histograms are exploited as base analyzed characteristics. A continuous time, discrete state Markov process with piece- wise constant interstate transition rates is associated with evolution of each histogram. The technique was applied to IQ longitudinal data (6- and 14-year children) and made it possible to draw conclusions concerning development of Russian children before school and during the first stage of school education as well as dependence of environmental and genetic influence on IQ level.},
pages = {29--40},
volume = {4},
year = {2004},
date-added = {2010-04-02 18:15:54 +0200},
date-modified = {2010-04-02 18:16:43 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kuracsky-2004-Australian%20Journal%20of%20Educational%20&%20Developmental%20Psychology_Application%20of%20Marko.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10336},
rating = {0}
}

@article{Kahn:1997p2840,
author = {C E Kahn and T A Michalski and S J Erickson and W D Foley and A Z Krasnow and R P Lofgren and F A Quiroz and S D Rand},
journal = {AJR Am J Roentgenol},
title = {Appropriateness of imaging procedure requests: do radiologists agree?},
abstract = {OBJECTIVE: We explored the agreement among radiologists in their evaluation of the appropriateness of individual requests for imaging procedures. MATERIALS AND METHODS: We reviewed 318 noninterventional CT, sonographic, MR imaging, and nuclear medicine procedures ordered at a general internal medicine clinic during 8 months in 1995. Five subspecialty radiologists used data from the radiology request from and clinic notes to independently rate the appropriateness of each requested imaging procedure on a four-point scale. The radiologists were unaware of the results achieved by each procedure. Each case was reviewed by at least three radiologists, of whom at least one had relevant subspecialty expertise. Agreement among radiologists was analyzed using Cohen's kappa statistic and weighted kappa statistics and Cronbach's alpha statistic. RESULTS: Nonchance agreement (kappa) was .19 +/- .05; weighted kappa was .24 +/- .05. Interrater agreement was significantly greater than that expected from chance alone (p < .01). The composite score, defined as the average of the radiologists' scores for each case, showed moderate reliability, as evidenced by a value for Cronbach's alpha of 70. CONCLUSION: In the absence of explicit criteria, we found modest but statistically significant agreement among radiologists about the appropriateness of individual requests for imaging procedures. The disagreement among radiologists highlights the importance of developing well-reasoned, explicit criteria by which to judge the appropriateness of diagnostic radiology procedures. Further study is needed to elucidate the relationship between appropriateness and actual patient outcomes.},
affiliation = {Department of Radiology, Medical College of Wisconsin, Milwaukee 53226, USA.},
number = {1},
pages = {11--4},
volume = {169},
year = {1997},
month = {Jul},
language = {eng},
keywords = {Referral and Consultation, Middle Aged, Aged, Observer Variation, Female, Health Services Misuse, Humans, Radiology, Male, Diagnostic Imaging, Internal Medicine, Adult, Aged: 80 and over},
date-added = {2010-01-13 14:56:47 +0100},
date-modified = {2010-01-13 14:56:47 +0100},
pmid = {9207492},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2840},
rating = {0}
}

@article{Kraja:2007p11678,
author = {Aldi T Kraja and Jon Corbett and An Ping and Rosa S Lin and Petra A Jacobsen and Michael Crosswhite and Ingrid B Borecki and Michael A Province},
journal = {BMC Proc},
title = {Rheumatoid arthritis, item response theory, Blom transformation, and mixed models},
abstract = {We studied rheumatoid arthritis (RA) in the North American Rheumatoid Arthritis Consortium (NARAC) data (1499 subjects; 757 families). Identical methods were applied for studying RA in the Genetic Analysis Workshop 15 (GAW15) simulated data (with a prior knowledge of the simulation answers). Fifty replications of GAW15 simulated data had 3497 +/- 20 subjects in 1500 nuclear families. Two new statistical methods were applied to transform the original phenotypes on these data, the item response theory (IRT) to create a latent variable from nine classifying predictors and a Blom transformation of the anti-CCP (anti-cyclic citrinullated protein) variable. We performed linear mixed-effects (LME) models to study the additive associations of 404 Illumina-genotyped single-nucleotide polymorphisms (SNPs) on the NARAC data, and of 17,820 SNPs of the GAW15 simulated data. In the GAW15 simulated data, the association with anti-CCP Blom transformation showed a 100% sensitivity for SNP1 located in the major histocompatibility complex gene. In contrast, the association of SNP1 with the IRT latent variable showed only 24% sensitivity. From the simulated data, we conclude that the Blom transformation of the anti-CCP variable produced more reliable results than the latent variable from the qualitative combination of a group of RA risk factors. In the NARAC data, the significant RA-SNPs associations found with both phenotype-transformation methods provided a trend that may point toward dynein and energy control genes. Finer genotyping in the NARAC data would grant more exact evidence for the contributions of chromosome 6 to RA.},
affiliation = {Division of Statistical Genomics, Washington University School of Medicine, Division of Statistical Genomics, 4444 Forest Park Boulevard, Campus Box 8506, St, Louis, Missouri 63110, USA. aldi@wustl.edu},
pages = {S116},
volume = {1 Suppl 1},
year = {2007},
month = {Jan},
language = {eng},
date-added = {2010-05-14 21:21:52 +0200},
date-modified = {2010-07-29 19:21:18 +0200},
pmid = {18466457},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kraja-2007-BMC%20Proc_Rheumatoid%20arthritis.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11678},
rating = {5}
}

@article{Sterne:2001,
author = {JAC Sterne and M Egger and GD Smith},
journal = {British Medical Journal},
title = {Investigating and dealing with publication and other biases in meta-analysis},
abstract = {Studies that show a significant effect of treatment are more likely to be published, be published in English, be cited by other authors, and produce multiple publications than other studies.1-8 Such studies are therefore also more likely to be identified and included in systematic reviews, which may introduce bias.9 Low methodological quality of studies included in a systematic review is another important source of bias.10 All these biases are more likely to affect small studies than large ones. The smaller a study the larger the treatment effect necessary for the results to be significant. The greater investment of time and money in larger studies means that they are more likely to be of high methodological quality and published even if their results are negative. Bias in a systematic review may therefore become evident through an association between the size of the treatment effect and study sizesuch associations may be examined both graphically and statistically.},
pages = {101--105},
volume = {323},
year = {2001},
date-added = {2010-01-03 19:36:10 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1095},
rating = {0}
}

@article{Harden:2007p907,
author = {K Paige Harden and Eric Turkheimer and John C Loehlin},
journal = {Behav Genet},
title = {Genotype by environment interaction in adolescents' cognitive aptitude},
abstract = {In a replication of Turkheimer, Haley, Waldron, D'Onofrio, Gottesman II (2003, Socioeconomic status modifies heritability of IQ in young children. Psychological Science, 14:623-628), we investigate genotype-environment (G x E) interaction in the cognitive aptitude of 839 twin pairs who completed the National Merit Scholastic Qualifying Test in 1962. Shared environmental influences were stronger for adolescents from poorer homes, while genetic influences were stronger for adolescents from more affluent homes. No significant differences were found between parental income and parental education interaction effects. Results suggest that environmental differences between middle- to upper-class families influence the expression of genetic potential for intelligence, as has previously been suggested by Bronfenbrenner and Ceci's (1994, Nature-nurture reconceptualized in developmental perspective: a bioecological model Psychological Review, 101:568-586) bioecological model.},
affiliation = {Department of Psychology, University of Virginia, P.O. Box 400400, Charlottesville, VA 22904, USA. kph3k@virginia.edu},
number = {2},
pages = {273--83},
volume = {37},
year = {2007},
month = {Mar},
language = {eng},
keywords = {Genotype, Adolescent Psychology, Environment, Child, Humans, Cognition, Adolescent},
date-added = {2010-01-03 18:41:45 +0100},
date-modified = {2010-07-29 20:09:06 +0200},
doi = {10.1007/s10519-006-9113-4},
pmid = {16977503},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Harden-2007-Behav%20Genet_Genotype%20by%20environm.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p907},
rating = {3}
}

@article{Long2001,
author = {A Long and H Mangalam and B Chan and L Tolleri and G Hatfield and P Baldi},
journal = {Journal of Biological Chemistry},
title = {Improved statistical inference from DNA microarray data using analysis of variance and a Bayesian statistical framework},
pages = {19937--19944},
volume = {276},
year = {2001},
date-added = {2010-01-12 14:26:46 +0100},
date-modified = {2010-01-12 14:26:52 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2515},
rating = {0}
}

@article{Wickham:2010p3618,
author = {H A Wickham},
title = {Practical tools for exploring data and models},
date-added = {2010-01-16 18:37:10 +0100},
date-modified = {2010-01-16 18:40:18 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Wickham--_Practical%20tools%20for.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3618},
rating = {0}
}

@misc{Keerthi:2002,
author = {S S Keerthi and K Duan and S K Shevade and A N Poo},
journal = {Miscellaneous},
title = {A fast dual algorithm for kernel logistic regression},
year = {2002},
month = {Jul},
date-added = {2010-01-10 11:33:19 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Keerthi-2002-Miscellaneous_A%20fast%20dual%20algorith.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2089},
rating = {0}
}

@article{Levy:2008p3193,
author = {R Levy},
journal = {NCME},
title = {Factors Affecting the Dimension of Best Measurement and Connections with Unidimensional Modeling of Multidimensional Data},
abstract = {When items exhibit multidimensionality, the dimension along which the collection of items
maximally discriminates is the dimension of best measurement. Foundational theoretical results regarding compensatory multidimensionality and the dimension of best measurement are reviewed and served to motivate the current investigations. Key factors of multidimensional data and their influences on the dimension of best measurement are presented and discussed. A theoretical study and a simulation study illustrates these results and investigates the relationship between the dimension of best measurement and the dimension that is estimated when a unidimensional model is fit to the data. The results provide evidence in support of hypotheses regarding (a) factors influencing the dimension of best measurement and (b) the relationship between the dimension of best measurement and the dimension resulting from fitting a unidimensional model. Discussions of implications for practice and future development conclude the paper.},
year = {2008},
date-added = {2010-01-14 20:51:27 +0100},
date-modified = {2010-01-14 20:52:02 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Levy-2008-NCME_Factors%20Affecting%20th.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3193},
rating = {0}
}

@article{Buuren:1989p4018,
author = {S van Buuren and W J Heiser},
journal = {Psychometrika},
title = {Clustering N objects into K groups under optimal scaling of variables},
abstract = {We propose a methodto reduce manycategorical variables to one variable with k catego- ries, or stated otherwise, to classify n objects into k groups. Objects are measured on a set of nominal, ordinal or numerical variables or any mix of these, and they are represented as n points in p-dimensional Euclidean space. Starting from homogeneity analysis, also called mul- tiple correspondence analysis, the essential feature of our approach is that these object points are restricted to lie at only one of k locations. It follows that these k locations must be equal to the centroids of all objects belonging to the same group, which corresponds to a sum of squared distances clustering criterion. The problemis not only to estimate the group allocation, but also to obtain an optimal transformation of the data matrix. Analternating least squares algorithm and an example are given.},
number = {4},
pages = {699--706},
volume = {54},
year = {1989},
keywords = {variable importance, homogeneity analysis, cluster analysis, GROUPALS},
date-added = {2010-01-18 15:34:15 +0100},
date-modified = {2010-01-18 15:39:21 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Buuren-1989-Psychometrika_Clustering%20N%20objects.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4018},
rating = {0}
}

@article{Prince:1996,
author = {M Prince and G Lewis and A Bird and R Blizard and A Mann},
journal = {Psychol Med},
title = {A longitudinal study of factors predicting change in cognitive test scores over time, in an older hypertensive population},
abstract = {This study aims to describe factors associated with cognitive decline among 2584 subjects, aged 65-74, who were followed up for 54 months in the Medical Research Council Elderly Hypertension Trial (1982-1989). The subjects completed a cognitive test, the Paired Associate Learning Test (PALT), five times over this period. Decline on the PALT was associated with advanced age, male sex, rural residence, depression and low intelligence. These effects were modified by gender and level of pre-morbid intelligence. Advanced age, rural residence and number of cigarettes smoked daily were only associated with PALT decline among women of below median intelligence. The association between depression and PALT decline was only apparent in women of below median intelligence and men of above median intelligence. While these findings are consistent with other research into cognitive decline, they differ in some ways from reported risk factors for dementia, suggesting aetiological separateness. That women were more vulnerable than men to the effects of age and smoking raises the question of the impact on cognition of accelerated atherosclerosis after the menopause.},
pages = {555--568},
volume = {26},
year = {1996},
date-added = {2010-01-03 19:36:10 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1066},
rating = {0}
}

@article{Eggen:2004aa,
author = {Theo J H M Eggen and Norman D Verhelst},
title = {Loss of Information in Estimating Item Parameters in Incomplete Designs},
abstract = {In this paper, the efficiency of conditional maximum likelihood (CML) and marginal maximum likelihood (MML) estimation of the item parameters of the Rasch model in incomplete designs is studied. The use of the concept of F-information (Eggen, 2000) is generalized to incomplete testing designs. The standardized determinant of the F-information matrix is used for a scalar measure of information in a set of item parameters. In this paper, the relation between the normalization of the Rasch model and this determinant is clarified. It is shown that comparing estimation methods with the defined information efficiency is independent of the chosen normalization. In examples, information comparisons are conducted. It is found that for both CML and MML some information is lost in all incomplete designs compared to complete designs. A general trend is that with increasing test booklet length the efficiency of an incomplete to a complete design and also the efficiency of CML compared to MML is increasing. The main differences between CML and MML is seen in relation to the length of the test booklet. It will be demonstrated that with very small booklets, there is a substantial loss in information (about 35%) with CML estimation, while this loss is only about 10% in MML estimation. However, with increasing test length, the differences between CML and MML quickly disappear.},
year = {2004},
month = {Jun},
date-added = {2010-01-03 19:39:02 +0100},
date-modified = {2010-01-03 19:39:03 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Eggen-2004-_Loss%20of%20Information.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1204},
rating = {0}
}

@article{Pattaro:2008p1725,
author = {Cristian Pattaro and Ingo Ruczinski and Dani{\`e}le M Fallin and Giovanni Parmigiani},
journal = {BMC Genomics},
title = {Haplotype block partitioning as a tool for dimensionality reduction in SNP association studies},
abstract = {BACKGROUND: Identification of disease-related genes in association studies is challenged by the large number of SNPs typed. To address the dilution of power caused by high dimensionality, and to generate results that are biologically interpretable, it is critical to take into consideration spatial correlation of SNPs along the genome. With the goal of identifying true genetic associations, partitioning the genome according to spatial correlation can be a powerful and meaningful way to address this dimensionality problem. RESULTS: We developed and validated an MCMC Algorithm To Identify blocks of Linkage DisEquilibrium (MATILDE) for clustering contiguous SNPs, and a statistical testing framework to detect association using partitions as units of analysis. We compared its ability to detect true SNP associations to that of the most commonly used algorithm for block partitioning, as implemented in the Haploview and HapBlock software. Simulations were based on artificially assigning phenotypes to individuals with SNPs corresponding to region 14q11 of the HapMap database. When block partitioning is performed using MATILDE, the ability to correctly identify a disease SNP is higher, especially for small effects, than it is with the alternatives considered. Advantages can be both in terms of true positive findings and limiting the number of false discoveries. Finer partitions provided by LD-based methods or by marker-by-marker analysis are efficient only for detecting big effects, or in presence of large sample sizes. The probabilistic approach we propose offers several additional advantages, including: a) adapting the estimation of blocks to the population, technology, and sample size of the study; b) probabilistic assessment of uncertainty about block boundaries and about whether any two SNPs are in the same block; c) user selection of the probability threshold for assigning SNPs to the same block. CONCLUSION: We demonstrate that, in realistic scenarios, our adaptive, study-specific block partitioning approach is as or more efficient than currently available LD-based approaches in guiding the search for disease loci.},
affiliation = {Unit of Genetic Epidemiology and Biostatistics, Institute of Genetic Medicine, European Academy, Viale Druso 1, I-39100, Bolzano, Italy. cristian.pattaro@eurac.edu},
pages = {405},
volume = {9},
year = {2008},
month = {Jan},
language = {eng},
keywords = {linkage disequilibrium, Genetic Predisposition to Disease, Genome: Human, Software, Humans, Algorithms, Polymorphism: Single Nucleotide, Computer Simulation, Haplotypes},
date-added = {2010-01-09 20:31:57 +0100},
date-modified = {2010-01-09 20:31:57 +0100},
doi = {10.1186/1471-2164-9-405},
pii = {1471-2164-9-405},
pmid = {18759977},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Pattaro-2008-BMC%20Genomics_Haplotype%20block%20part.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1725},
rating = {0}
}

@article{Melnykov:2010p11424,
author = {V Melnykov and R Maitra},
journal = {Statistics Surveys},
title = {Finite mixture models and model-based clustering},
abstract = {Finite mixture models have a long history in statistics, hav- ing been used to model population heterogeneity, generalize distributional assumptions, and lately, for providing a convenient yet formal framework for clustering and classification. This paper provides a detailed review into mixture models and model-based clustering. Recent trends as well as open problems in the area are also discussed.},
pages = {80--116},
volume = {4},
year = {2010},
date-added = {2010-05-01 16:58:48 +0200},
date-modified = {2010-05-23 10:12:52 +0200},
doi = {10.1214/09-SS053},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Melnykov-2010-Statistics%20Surveys_Finite%20mixture%20model.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11424},
read = {Yes},
rating = {5}
}

@article{McKay:1995p6853,
author = {D McKay and S Danyko and F Neziroglu and J A Yaryura-Tobias},
journal = {Behaviour Research and Therapy},
title = {Factor structure of the Yale-Brown Obsessive-Compulsive Scale: a two dimensional measure},
abstract = {The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS: Goodman, Price, Rasmussen, Mazure, Fleischman, Hill, Heninger {\&} Charney, 1989a, b, Archives of General Psychiatry, 46, 1006-1016), a widely used measure of obsessions and compulsions, is typically used by summing the items to yield a global measure of symptom severity. However obsessive-compulsive disorder (OCD) is characterized by two distinct groups of symptoms (i.e. obsessions and compulsions), and so it was hypothesized that OCD, as assessed by the Y-BOCS, may be two dimensional. In other words, the items assessing obsessions may be factorially distinct from the items assessing compulsions. A confirmatory factor analysis (CFA) was conducted using responses from 83 OCD patients to determine whether OCD as assessed with the Y-BOCS is unidimensional or forms two distinct dimensions. Results supported a two-factor solution, and suggest that items assessing obsessions should be scored as one subscale, and items assessing compulsions scored as a separate subscale. Depression, as assessed by the Beck Depression Inventory, (Beck, Ward, Mendelsohn, Mock {\&} Erbaugh, 1961, Archives of General Psychiatry, 4, 561-571), was correlated with both subscales. Trait anxiety, as assessed by the State-Trait Anxiety Inventory (Speilberger, 1983, Manual for the State-Trait Anxiety Inventory (Form Y). Palo-Alto, CA: Consulting Psychologists Press), was correlated with the obsessions subscale but not with the compulsions subscale.},
affiliation = {Institute for Bio-Behavioral Therapy and Research, Great Neck, NY, USA.},
number = {7},
pages = {865--9},
volume = {33},
year = {1995},
month = {Sep},
language = {eng},
keywords = {Male, Female, Adult, Adolescent, Humans, Obsessive-Compulsive Disorder, Middle Aged, Psychological Tests},
date-added = {2010-03-06 10:31:32 +0100},
date-modified = {2010-07-29 19:18:50 +0200},
pii = {0005-7967(95)00014-O},
pmid = {7677726},
local-url = {file://localhost/Users/chl/Dropbox/Papers/McKay-1995-Behaviour%20Research%20and%20Therapy_Factor%20structure%20of-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6853},
rating = {0}
}

@article{Henson:2006,
author = {RK Henson},
journal = {The Counseling Psychologist},
title = {Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research},
abstract = {Effect sizes are critical to result interpretation and synthesis across studies. Although statistical significance testing has historically dominated the determination of result importance, modern views emphasize the role of effect sizes and confidence intervals. This article accessibly discusses how to calculate and interpret the effect sizes that counseling psychologists use most frequently. To provide context, the author presents a brief history of statistical significance tests. Second, the author discusses the difference between statistical, practical, and clinical significance. Third, the author reviews and graphically demonstrates two common types of effect sizes, commenting on multivariate and corrected effect sizes. Fourth, the author emphasizes meta-analytic thinking and the potential role of confidence intervals around effect sizes. Finally, the author gives a hypothetical example of how to report and potentially interpret some effect sizes.},
number = {5},
pages = {601--629},
volume = {34},
year = {2006},
date-added = {2010-01-03 19:35:29 +0100},
date-modified = {2010-01-03 19:35:29 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1021},
rating = {0}
}

@misc{Yoon:2004,
author = {T-J Yoon and S Chavarria and J Cole and M Hasegawa-Johnson},
journal = {Miscellaneous},
title = {Intertranscriber Reliability of Prosodic Labeling on Telephone Conversation Using ToBI},
year = {2004},
date-added = {2010-01-10 11:33:09 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Yoon-2004-Miscellaneous_Intertranscriber%20Rel.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1958},
rating = {0}
}

@article{Pallant:2006p8371,
author = {Julie F Pallant and Ren{\'e}e L Miller and Alan Tennant},
journal = {BMC Psychiatry},
title = {Evaluation of the Edinburgh Post Natal Depression Scale using Rasch analysis},
abstract = {BACKGROUND: The Edinburgh Postnatal Depression Scale (EPDS) is a 10 item self-rating post-natal depression scale which has seen widespread use in epidemiological and clinical studies. Concern has been raised over the validity of the EPDS as a single summed scale, with suggestions that it measures two separate aspects, one of depressive feelings, the other of anxiety. METHODS: As part of a larger cross-sectional study conducted in Melbourne, Australia, a community sample (324 women, ranging in age from 18 to 44 years: mean = 32 yrs, SD = 4.6), was obtained by inviting primiparous women to participate voluntarily in this study. Data from the EPDS were fitted to the Rasch measurement model and tested for appropriate category ordering, for item bias through Differential Item Functioning (DIF) analysis, and for unidimensionality through tests of the assumption of local independence. RESULTS: Rasch analysis of the data from the ten item scale initially demonstrated a lack of fit to the model with a significant Item-Trait Interaction total chi-square (chi Square = 82.8, df = 40; p < .001). Removal of two items (items 7 and 8) resulted in a non-significant Item-Trait Interaction total chi-square with a residual mean value for items of -0.467 with a standard deviation of 0.850, showing fit to the model. No DIF existed in the final 8-item scale (EPDS-8) and all items showed fit to model expectations. Principal Components Analysis of the residuals supported the local independence assumption, and unidimensionality of the revised EPDS-8 scale. Revised cut points were identified for EPDS-8 to maintain the case identification of the original scale. CONCLUSION: The results of this study suggest that EPDS, in its original 10 item form, is not a viable scale for the unidimensional measurement of depression. Rasch analysis suggests that a revised eight item version (EPDS-8) would provide a more psychometrically robust scale. The revised cut points of 7/8 and 9/10 for the EPDS-8 show high levels of agreement with the original case identification for the EPDS-10.},
affiliation = {Faculty of Life and Social Sciences, Swinburne University of Technology, P,O, Box 218, Hawthorn, Victoria 3122, Australia. jpallant@swin.edu.au},
pages = {28},
volume = {6},
year = {2006},
month = {Jan},
language = {eng},
keywords = {Depression: Postpartum, Australia, Pregnancy, Personality Inventory, Chi-Square Distribution, Psychometrics, Female, Questionnaires, Reproducibility of Results, Humans, Adolescent, Models: Statistical, Parity, Adult, Principal Component Analysis, Factor Analysis: Statistical},
date-added = {2010-03-21 13:03:49 +0100},
date-modified = {2010-03-21 13:03:53 +0100},
doi = {10.1186/1471-244X-6-28},
pii = {1471-244X-6-28},
pmid = {16768803},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Pallant-2006-BMC%20Psychiatry_Evaluation%20of%20the%20Ed.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8371},
rating = {4}
}

@article{Conrad:2007p2764,
author = {Donald F Conrad and Matthew E Hurles},
journal = {Nat Genet},
title = {The population genetics of structural variation},
abstract = {Population genetics is central to our understanding of human variation, and by linking medical and evolutionary themes, it enables us to understand the origins and impacts of our genomic differences. Despite current limitations in our knowledge of the locations, sizes and mutational origins of structural variants, our characterization of their population genetics is developing apace, bringing new insights into recent human adaptation, genome biology and disease. We summarize recent dramatic advances, describe the diverse mutational origins of chromosomal rearrangements and argue that their complexity necessitates a re-evaluation of existing population genetic methods.},
affiliation = {Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA.},
number = {7 Suppl},
pages = {S30--6},
volume = {39},
year = {2007},
month = {Jul},
language = {eng},
keywords = {Selection: Genetic, Linkage Disequilibrium, Genetics: Population, Mutation, Humans, Gene Rearrangement, Genome: Human, Gene Dosage, Genetic Variation},
date-added = {2010-01-13 14:21:57 +0100},
date-modified = {2010-01-13 14:21:57 +0100},
doi = {10.1038/ng2042},
pii = {ng2042},
pmid = {17597779},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Conrad-2007-Nat%20Genet_The%20population%20genet.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2764},
rating = {0}
}

@article{Brookes:2006p9133,
author = {Keeley-Joanne Brookes and Jon Mill and Camilla Guindalini and Sarah Curran and Xiaohui Xu and Jo Knight and Chih-Ken Chen and Yu-Shu Huang and Vaheshta Sethna and Eric Taylor and Wai Chen and Gerome Breen and Philip Asherson},
journal = {Arch Gen Psychiatry},
title = {A common haplotype of the dopamine transporter gene associated with attention-deficit/hyperactivity disorder and interacting with maternal use of alcohol during pregnancy},
abstract = {CONTEXT: Attention-deficit/hyperactivity disorder (ADHD) is a common heritable childhood behavioral disorder. Identifying risk factors for ADHD may lead to improved intervention and prevention. The dopamine transporter gene (DAT1) is associated with ADHD in several studies, with an average 1.2 odds ratio and evidence of heterogeneity across data sets. OBJECTIVE: To investigate sources of heterogeneity by refining the DAT1 association using additional markers and investigating gene-environment interaction between DAT1 and maternal use of alcohol and tobacco during pregnancy. DESIGN: Prospective study. SETTING AND PATIENTS: Children with ADHD from child behavior clinics in the southeast of England and in the Taipei area of Taiwan. INTERVENTIONS: Within-family tests of association using 2 repeat polymorphisms in the 3' untranslated region and intron 8 plus additional markers in the English sample. MAIN OUTCOME MEASURES: Transmission ratios of risk alleles from heterozygote parents to affected offspring and comparison of the transmission ratios in high- and low-exposure groups for the environmental variables. RESULTS: A novel association was identified between ADHD, the intron 8 polymorphism, and a specific risk haplotype in both English and Taiwanese samples. The risk haplotype showed significant interactions with maternal use of alcohol during pregnancy. CONCLUSIONS: The identification of a common haplotype in 2 independent populations is an important step toward identifying functionally significant regions of DAT1. Interaction between DAT1 genotypes and maternal use of alcohol during pregnancy suggests that DAT1 moderates the environmental risk and has implications for the prevention of ADHD. Further studies are required to delineate the precise causal risk factor involved in this interaction.},
affiliation = {Medical Research Council Social Genetic Developmental Psychiatry Centre, Institute of Psychiatry, London, England.},
number = {1},
pages = {74--81},
volume = {63},
year = {2006},
month = {Jan},
language = {eng},
keywords = {European Continental Ancestry Group, Smoking, Genetic Markers, Dopamine Plasma Membrane Transport Proteins, Asian Continental Ancestry Group, Risk Factors, Ethanol, Pregnancy, England, Maternal-Fetal Exchange, Linkage Disequilibrium, Taiwan, Chromosome Mapping, Humans, Alcohol Drinking, Genetic Predisposition to Disease, Female, Prospective Studies, Haplotypes, Attention Deficit Disorder with Hyperactivity, Pregnancy Complications, Maternal Exposure},
date-added = {2010-03-22 13:28:19 +0100},
date-modified = {2010-03-22 13:28:19 +0100},
doi = {10.1001/archpsyc.63.1.74},
pii = {63/1/74},
pmid = {16389200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Brookes-2006-Arch%20Gen%20Psychiatry_A%20common%20haplotype%20o.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9133},
rating = {0}
}

@article{Yang:2008p5057,
author = {Seungmi Yang and John Lynch and Ezra S Susser and Debbie A Lawlor},
journal = {Pediatrics},
title = {Birth weight and cognitive ability in childhood among siblings and nonsiblings},
abstract = {OBJECTIVES: The purpose of this work was to examine whether the positive association between birth weight and childhood cognitive ability is seen within siblings from the same family, as well as between nonsiblings, and to determine whether these associations vary with age. METHODS: We compared the association of birth weight with cognitive ability measured at ages 5 to 6, 7 to 9, and 11 to 12 years among a total of 5402 children from different families with that among 2236 to 3083 sibships from the National Longitudinal Study of Youth 1979-Children. RESULTS: In the whole cohort, there were positive associations between birth weight and cognitive ability at all ages, with the association increasing with age from a 0.81-point increase at ages 5 to 6 years to 1.30 and 1.44 points at ages 7 to 9 and 11 to 12 years, respectively, per 1 SD of gestational age- and gender-adjusted birth weight z score. With adjustment for covariates, there was marked attenuation of these associations. Mean differences were 0.28 points in children aged 5 to 6 years, 0.67 points in those aged 7 to 9 years, and 0.52 points in those aged 11 to 12 years after adjusting for child's gender, race or ethnicity, year of birth, and age at test; maternal age, height, parity, education, smoking during pregnancy, and cognitive ability; and household income. Our family-based analyses that separated within- and between-family effects found that the between-family associations were much stronger than the within-family associations. However, adjustment for potential confounders attenuated the between-family associations, and there was no evidence for a difference in association comparing the between- and within-family associations. CONCLUSIONS: In these data, the positive association between birth weight and childhood cognitive ability at ages 5 to 12 years is explained largely by family characteristics rather than a specific intrauterine effect.},
affiliation = {Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada. seungmi.yang@mcgill.ca},
number = {2},
pages = {e350--8},
volume = {122},
year = {2008},
month = {Aug},
language = {eng},
keywords = {Child Development, Female, Male, Child, Family Characteristics, Infant: Newborn, Family Health, Probability, Confidence Intervals, Birth Weight, Cognition, Humans, Risk Assessment, Child: Preschool, Gestational Age, Sex Factors, Siblings, Age Factors, Cohort Studies, Cognition Disorders},
date-added = {2010-02-05 20:04:24 +0100},
date-modified = {2010-02-05 20:04:24 +0100},
doi = {10.1542/peds.2007-3851},
pii = {122/2/e350},
pmid = {18676521},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Yang-2008-Pediatrics_Birth%20weight%20and%20cog.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5057},
rating = {0}
}

@article{Boccardi:2010p8818,
author = {Marina Boccardi and Monica Almici and Lorena Bresciani and Anna Caroli and Matteo Bonetti and Sergio Monchieri and Massimo Gennarelli and Giovanni B Frisoni},
journal = {Neurosci Lett},
title = {Clinical and medial temporal features in a family with mood disorders},
abstract = {It is debated whether non-affected relatives of patients with affective disorders share a specific brain structure endophenotype. Aim of this work is to explore the medial temporal morphology in affected and non-affected members of a family with mood disorders. Hippocampi and amygdalae were manually traced from the 3D magnetic resonance imaging of five affected family members, 10 non-affected relatives, and 15 unrelated matched controls. Affected and non-affected relatives were characterized by larger left amygdalae (18%, p=0.030), smaller right hippocampus (up to 18%, p<0.0005), and reduced hippocampal asymmetry (p<0.001) than controls. Abnormal, albeit non significant, positive correlations of MTL volumes with age were observed, with the exception of smaller volume of the left hippocampus with advancing age (r=-0.76) in the affected relatives. These data add to the evidence that abnormal medial temporal structures may constitute an endophenotype for affective disorders.},
affiliation = {LENITEM Laboratory of Epidemiology, Neuroimaging, {\&} Telemedicine - IRCCS San Giovanni di Dio-FBF, Brescia, Italy.},
number = {2},
pages = {93--7},
volume = {468},
year = {2010},
month = {Jan},
language = {eng},
keywords = {Pedigree, Aged: 80 and over, Depressive Disorder, Depressive Disorder: Major, Adult, Male, Temporal Lobe, Aged, Magnetic Resonance Imaging, Hippocampus, Amygdala, Middle Aged, Bipolar Disorder, Female, Humans},
date-added = {2010-03-22 12:32:24 +0100},
date-modified = {2010-07-29 19:41:43 +0200},
doi = {10.1016/j.neulet.2009.10.067},
pii = {S0304-3940(09)01412-8},
pmid = {19874870},
URL = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T0G-4XJG5RG-4&_user=2432700&_coverDate=01%252F04%252F2010&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000057263&_version=1&_urlVersion=0&_userid=2432700&md5=b22144eb4644e4d3829cd4a78364c9aa},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Boccardi-2010-Neurosci%20Lett_Clinical%20and%20medial.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8818},
rating = {0}
}

@article{Tamhane:2010p7759,
author = {A C Tamhane and C R Mehta and L Liu},
journal = {Biometrics},
title = {Testing a Primary and a Secondary Endpoint in a Group Sequential Design},
abstract = {We consider a clinical trial with a primary and a secondary endpoint where the secondary endpoint is tested only if the primary endpoint is significant. The trial uses a group sequential procedure with two stages. The familywise error rate (FWER) of falsely concluding significance on either endpoint is to be controlled at a nominal level α. The type I error rate for the primary endpoint is controlled by choosing any α-level stopping boundary, e.g., the standard O'Brien--Fleming or the Pocock boundary. Given any particular α-level boundary for the primary endpoint, we study the problem of determining the boundary for the secondary endpoint to control the FWER. We study this FWER analytically and numerically and find that it is maximized when the correlation coefficient ρ between the two endpoints equals 1. For the four combinations consisting of O'Brien--Fleming and Pocock boundaries for the primary and secondary endpoints, the critical constants required to control the FWER are computed for different values of ρ. An ad hoc boundary is proposed for the secondary endpoint to address a practical concern that may be at issue in some applications. Numerical studies indicate that the O'Brien--Fleming boundary for the primary endpoint and the Pocock boundary for the secondary endpoint generally gives the best primary as well as secondary power performance. The Pocock boundary may be replaced by the ad hoc boundary for the secondary endpoint with a very little loss of secondary power if the practical concern is at issue. A clinical trial example is given to illustrate the methods.},
year = {2010},
date-added = {2010-03-17 20:53:38 +0100},
date-modified = {2010-03-17 20:54:43 +0100},
doi = {10.1111/j.1541-0420.2010.01402.x},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Tamhane-2010-Biometrics_Testing%20a%20Primary%20an.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7759},
rating = {0}
}

@article{Menzies:2008p9702,
author = {Lara Menzies and Samuel R Chamberlain and Angela R Laird and Sarah M Thelen and Barbara J Sahakian and Ed T Bullmore},
journal = {Neurosci Biobehav Rev},
title = {Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: the orbitofronto-striatal model revisited},
abstract = {Obsessive-compulsive disorder (OCD) is a common, heritable and disabling neuropsychiatric disorder. Theoretical models suggest that OCD is underpinned by functional and structural abnormalities in orbitofronto-striatal circuits. Evidence from cognitive and neuroimaging studies (functional and structural magnetic resonance imaging (MRI) and positron emission tomography (PET)) have generally been taken to be supportive of these theoretical models; however, results from these studies have not been entirely congruent with each other. With the advent of whole brain-based structural imaging techniques, such as voxel-based morphometry and multivoxel analyses, we consider it timely to assess neuroimaging findings to date, and to examine their compatibility with cognitive studies and orbitofronto-striatal models. As part of this assessment, we performed a quantitative, voxel-level meta-analysis of functional MRI findings, which revealed consistent abnormalities in orbitofronto-striatal and other additional areas in OCD. This review also considers the evidence for involvement of other brain areas outside orbitofronto-striatal regions in OCD, the limitations of current imaging techniques, and how future developments in imaging may aid our understanding of OCD.},
affiliation = {Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 2QQ, UK. lacm2@cam.ac.uk},
number = {3},
pages = {525--49},
volume = {32},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Models: Neurological, Magnetic Resonance Imaging, Neostriatum, Humans, Neural Inhibition, Frontal Lobe, Obsessive-Compulsive Disorder, Animals, Neuropsychological Tests, Neural Pathways, Brain Mapping},
date-added = {2010-03-25 15:12:46 +0100},
date-modified = {2010-03-25 15:12:46 +0100},
doi = {10.1016/j.neubiorev.2007.09.005},
pii = {S0149-7634(07)00114-5},
pmid = {18061263},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Menzies-2008-Neurosci%20Biobehav%20Rev_Integrating%20evidence.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9702},
rating = {0}
}

@article{Yi:2008p9837,
author = {Qilong Yi and P Peter Wang and Yaohua He},
journal = {Stat Med},
title = {Reliability analysis for continuous measurements: equivalence test for agreement},
abstract = {In tandem with the rapid development of medical technology, methods for assessing intrarater and interrater reliability or agreement across tools for continuous measurements have become an increasingly important research topic. Thus far, a number of reliability assessment methods have been proposed. Among them, the limits of agreement and repeatability coefficients were found to be the most useful tools for assessing reliability when measurements are on a continuous scale. However, both are considered as descriptive methods. The concepts of consistency or conformity require an equivalence test without which judgment would be subjective. In this paper we will extend the repeatability coefficient approach and propose an equivalence test that can be used to confirm the agreement between two or more measurement tools or assess interrater and intrarater reliability. Using this approach, a formula to calculate sample size will also be suggested and examples will be provided to illustrate the method.},
affiliation = {National Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada. qi-long.yi@bloodservices.ca},
number = {15},
pages = {2816--25},
volume = {27},
year = {2008},
month = {Jul},
language = {eng},
keywords = {Humans, Reproducibility of Results, Observer Variation, Research Design, Models: Statistical},
date-added = {2010-03-26 19:27:23 +0100},
date-modified = {2010-03-26 19:27:23 +0100},
doi = {10.1002/sim.3110},
pmid = {17985364},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Yi-2008-Stat%20Med_Reliability%20analysis.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9837},
rating = {0}
}

@article{Tata:1996p10208,
author = {P R Tata and J A Leibowitz and M J Prunty and M Cameron and A D Pickering},
journal = {Behaviour Research and Therapy},
title = {Attentional bias in obsessional compulsive disorder},
abstract = {To date, studies of information processing in anxiety disorders have suggested that the latter are characterised by vigilance for threatening stimuli, possibly specific to personally relevant threat content. The present study represents an attempt to establish whether patients suffering from Obsessional Compulsive Disorder (OCD), generally classified as an anxiety disorder, show a similar cognitive bias. Thus, a replication of MacLeod, Mathews and Tata's (1986) study [Journal of Abnormal Psychology, 95, 15-20] is reported, employing modified materials of direct concern to the OCD subjects i.e. Contamination-related words. The results did indeed reveal content specific vigilance, whereby the OCD group were more vigilant for contamination content than mood-matched High Trait Anxious (HTA) controls, but the reverse was true for Social Anxiety words. Additionally, while a general threat interference effect was identified for both OCD and HTA subjects this was not content specific. A second experiment employing Low Trait Anxious subjects revealed no vigilance for threat nor any threat interference in this sample. The clinical implications and possible mechanism underlying these results are discussed.},
affiliation = {Department of Psychology, St George's Hospital Medical School, London, England.},
number = {1},
pages = {53--60},
volume = {34},
year = {1996},
month = {Jan},
language = {eng},
keywords = {Humans, Vocabulary, Mental Processes, Adult, Arousal, Middle Aged, Psychiatric Status Rating Scales, Questionnaires, Obsessive-Compulsive Disorder, Attention},
date-added = {2010-04-01 18:20:36 +0200},
date-modified = {2010-07-29 19:18:50 +0200},
pii = {000579679500041U},
pmid = {8561765},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Tata-1996-Behaviour%20Research%20and%20Therapy_Attentional%20bias%20in-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10208},
rating = {0}
}

@article{Rao:2008p5995,
author = {Deepa Rao and Scott Debb and David Blitz and Seung W Choi and David Cella},
journal = {J Pain Symptom Manage},
title = {Racial/Ethnic differences in the health-related quality of life of cancer patients},
abstract = {Previous research has suggested that, when compared to European Americans (EAs), African Americans (AAs) are at higher risk of metastatic disease at time of cancer diagnosis, and a higher risk of shorter survival. Although AA patients have reported worse physical health than EA patients, studies have rarely addressed whether racial/ethnic disparities exist on the social, emotional, and functional aspects of health-related quality of life. Five hundred and two AA and 396 EA patients with AIDS-related malignancies or breast, colon, head/neck, and lung cancers seeking treatment within the contiguous United States and Puerto Rico participated in the present study. Responses on the Functional Assessment of Cancer Therapy-General were analyzed for possible racial/ethnic disparities using multivariable regression models and item response theory modeling to detect differential item functioning. Differential item functioning was found in six items of the Functional Assessment of Cancer Therapy-General, indicating that AA and EA participants had different probabilities of responding to these items. Compared to EAs at the same level of health-related quality of life, AAs reported more severe symptomatology on items that reflected malaise and ability to work, and less severe symptomatology on items that reflected fatigue, treatment side effects, and outlook on life. At the subscale level, AAs reported poorer physical and social well-being, but better emotional well-being, than EAs. Similar to previous studies, AA patients reported poorer physical functioning than a comparable group of EA patients. Some items appear to be responded to differently by AAs and EAs, suggesting it is important to consider race/ethnicity when evaluating responses to questions about health-related quality of life.},
affiliation = {Institute for Healthcare Studies, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA. deepa-rao@northwestern.edu},
number = {5},
pages = {488--96},
volume = {36},
year = {2008},
month = {Nov},
language = {eng},
keywords = {Humans, Health Services Accessibility, United States, Neoplasms, Quality of Life, Ethnic Groups, Female, Middle Aged, Prejudice, Socioeconomic Factors},
date-added = {2010-02-18 23:33:38 +0100},
date-modified = {2010-02-18 23:33:38 +0100},
doi = {10.1016/j.jpainsymman.2007.11.012},
pii = {S0885-3924(08)00206-6},
pmid = {18504096},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Rao-2008-J%20Pain%20Symptom%20Manage_RacialEthnic%20differ.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5995},
rating = {0}
}

@article{Reynolds:2006p10252,
author = {Chandra A Reynolds},
journal = {Twin research and human genetics : the official journal of the International Society for Twin Studies},
title = {Advances in statistical models and methods},
number = {3},
pages = {311--2},
volume = {9},
year = {2006},
month = {Jun},
language = {eng},
keywords = {Models: Genetic, Biometry, Humans, Models: Statistical, Software},
date-added = {2010-04-02 10:58:04 +0200},
date-modified = {2010-04-02 10:58:04 +0200},
doi = {10.1375/183242706777591362},
pmid = {16790141},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Reynolds-2006-Twin%20research%20and%20human%20genetics%20the%20official%20journal%20of%20the%20International%20Society%20for%20Twin%20Studies_Advances%20in%20statisti.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10252},
rating = {0}
}

@article{Middendorf:2004p4418,
author = {Manuel Middendorf and Anshul Kundaje and Chris Wiggins and Yoav Freund and Christina Leslie},
journal = {Bioinformatics},
title = {Predicting genetic regulatory response using classification},
abstract = {MOTIVATION: Studying gene regulatory mechanisms in simple model organisms through analysis of high-throughput genomic data has emerged as a central problem in computational biology. Most approaches in the literature have focused either on finding a few strong regulatory patterns or on learning descriptive models from training data. However, these approaches are not yet adequate for making accurate predictions about which genes will be up- or down-regulated in new or held-out experiments. By introducing a predictive methodology for this problem, we can use powerful tools from machine learning and assess the statistical significance of our predictions. RESULTS: We present a novel classification-based method for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple organisms such as Saccharomyces cerevisiae, we can learn a decision rule for predicting whether a gene is up- or down-regulated in a particular experiment based on (1) the presence of binding site subsequences ('motifs') in the gene's regulatory region and (2) the expression levels of regulators such as transcription factors in the experiment ('parents'). Thus, our learning task integrates two qualitatively different data sources: genome-wide cDNA microarray data across multiple perturbation and mutant experiments along with motif profile data from regulatory sequences. We convert the regression task of predicting real-valued gene expression measurements to a classification task of predicting +1 and -1 labels, corresponding to up- and down-regulation beyond the levels of biological and measurement noise in microarray measurements. The learning algorithm employed is boosting with a margin-based generalization of decision trees, alternating decision trees. This large-margin classifier is sufficiently flexible to allow complex logical functions, yet sufficiently simple to give insight into the combinatorial mechanisms of gene regulation. We observe encouraging prediction accuracy on experiments based on the Gasch S.cerevisiae dataset, and we show that we can accurately predict up- and down-regulation on held-out experiments. We also show how to extract significant regulators, motifs and motif-regulator pairs from the learned models for various stress responses. Our method thus provides predictive hypotheses, suggests biological experiments, and provides interpretable insight into the structure of genetic regulatory networks. AVAILABILITY: The MLJava package is available upon request to the authors. Supplementary: Additional results are available from http://www.cs.columbia.edu/compbio/geneclass},
affiliation = {Department of Physics, Columbia University, NY, NY 10027, USA.},
pages = {i232--40},
volume = {20 Suppl 1},
year = {2004},
month = {Aug},
language = {eng},
keywords = {Saccharomyces cerevisiae Proteins, Gene Expression Regulation, Signal Transduction, Proteome, Transcriptional Activation, Binding Sites, Transcription Factors, Regulatory Elements: Transcriptional, Models: Genetic, Sequence Analysis: DNA, Computer Simulation, Chromosome Mapping, Protein Binding},
date-added = {2010-01-29 10:26:37 +0100},
date-modified = {2010-01-29 10:26:37 +0100},
doi = {10.1093/bioinformatics/bth923},
pii = {20/suppl_1/i232},
pmid = {15262804},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4418},
rating = {0}
}

@article{Hays:2007p5957,
author = {Ron D Hays and Joseph Lipscomb},
journal = {Qual Life Res},
title = {Next steps for use of item response theory in the assessment of health outcomes},
abstract = {OBJECTIVES: We review the NCI/DIA conference, "Improving health outcomes assessment based on modern measurement theory and computerized adaptive testing," and suggest next steps in use of item response theory (IRT) to assess health outcomes. BACKGROUND: In recent years the level of interest and use of IRT methods has increased dramatically among health outcomes researchers. The NCI/DIA conference on June 24-25, 2004, was one of the first systematic opportunities to examine many challenging issues in applying IRT to the health outcomes field. METHOD: Based on the conference presentations, we identified five issues important to future applications of IRT to health outcomes. RESULTS: The five key issues are as follows: (1) collaboration between academia, government and industry; (2) common versus unique item banks; (3) educating and establishing standards for use and reporting of IRT; (4) demonstrating the value of IRT; and (5) continuing efforts to improve the user friendliness of IRT software. CONCLUSIONS: Moving forward will require a collaborative effort between academia, government agencies, and industry to design and conduct IRT research. A common item bank developed with collaboration from investigators from multiple institutions could be very valuable to the field. The establishment of consensus standards for use and reporting of IRT results would help users and consumers of the methodology. Clear documentation of how IRT can lead to better patient-reported outcome measures and more accurate understanding of substantive issues is essential. Academia, government and industry should continue current work to enhance the user-friendliness of the IRT software.},
affiliation = {David Geffen School of Medicine, UCLA/RAND Health Program, Santa Monica, CA 90407, USA. drhays@ucla.edu},
pages = {195--9},
volume = {16 Suppl 1},
year = {2007},
month = {Jan},
language = {eng},
keywords = {United States, Outcome Assessment (Health Care), Software, Cooperative Behavior, Quality of Life, Health Status, Congresses as Topic, Questionnaires, Humans},
date-added = {2010-02-18 23:25:23 +0100},
date-modified = {2010-07-29 19:48:30 +0200},
doi = {10.1007/s11136-007-9175-7},
pmid = {17351825},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5957},
rating = {0}
}

@article{Ramsay:1996p6295,
author = {J O Ramsay},
journal = {Behaviormetrika},
title = {A geometrical approach to Item Response Theory},
abstract = {How critical is the concept of the latent trait to modern test theory ? The appeal to some unobservable characteristic modulating response probability can lead to some confusion and misunderstanding among users of psychometric technology. This paper looks at a geometric formulation of item response theory that avoids the need to appeal to unobservables.	It draws on concepts in differential geometry to represent the trait being measured as a differentiable manifold within the space of possible joint item response probabilities given conditional independence. The result is a manifest and in principle	observable	representation	of	the	trait	that	is	invariant	under	one-to-one transformations of trait scores. These concepts are illustrated by analyses of an actual test.},
number = {1},
pages = {3--16},
volume = {23},
year = {1996},
date-added = {2010-02-20 20:07:04 +0100},
date-modified = {2010-02-20 20:08:01 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Ramsay-1996-Behaviormetrika_A%20geometrical%20approa.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6295},
rating = {0}
}

@article{Zumbo:2003p11932,
author = {Bruno D Zumbo and S G Sireci and R K Hambleton},
journal = {National Council on Measurement in Education},
title = {Re-Visiting Exploratory Methods for Construct Comparability: Is There Something to be Gained From the Ways of Old?},
abstract = {This paper reviews methodological issues that arise in the investigation of construct comparability across key comparison groups such as ethnic and gender groups, or adapted/translated versions of tests in the same or different cultures. The authors advocate a multi-method approach to investigating construct comparability. In particular, multi-group exploratory factor analysis is described, in the context of an example, as a complement to the standard multi-group confirmatory factor analysis. We also describe a graphical method of investigating if the congruence coefficients in multi-group exploratory factor analysis may be spuriously inflated, hence strengthening the exploratory methodology. The example, from the Canadian School Achievement Indicators Program 1996 Science Assessment, shows how the confirmatory approach may not support construct comparability when the exploratory does. Reasons for why this may happen, and why the exploratory approach is a good complement, are discussed.},
year = {2003},
date-added = {2010-05-23 16:47:20 +0200},
date-modified = {2010-07-29 20:46:35 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Zumbo-2003-National%20Council%20on%20Measurement%20in%20Education_Re-Visiting%20Explorat.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11932},
rating = {0}
}

@article{Jenatton:2009p2938,
author = {Rodolphe Jenatton and Jean-Yves Audibert and Francis Bach},
journal = {arXiv},
title = {Structured Variable Selection with Sparsity-Inducing Norms},
abstract = { We consider the empirical risk minimization problem for linear supervised learning, with regularization by structured sparsity-inducing norms. These are defined as sums of Euclidean norms on certain subsets of variables, extending the usual {\$}\ell_1{\$}-norm and the group {\$}\ell_1{\$}-norm by allowing the subsets to overlap. This leads to a specific set of allowed nonzero patterns for the solutions of such problems. We first explore the relationship between the groups defining the norm and the resulting nonzero patterns, providing both forward and backward algorithms to go back and forth from groups to patterns. This allows the design of norms adapted to specific prior knowledge expressed in terms of nonzero patterns. We also present an efficient active set algorithm, and analyze the consistency of variable selection for least-squares linear regression in low and high-dimensional settings. },
affiliation = {INRIA Rocquencourt},
eprint = {0904.3523v2},
volume = {stat.ML},
year = {2009},
month = {Jan},
keywords = {stat.ML},
date-added = {2010-01-13 22:59:40 +0100},
date-modified = {2010-01-13 22:59:40 +0100},
pmid = {0904.3523v2},
URL = {http://arxiv.org/abs/0904.3523v2},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Jenatton-2009-arXiv_Structured%20Variable.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2938},
rating = {0}
}

@article{Cho:2009p5611,
author = {Yoon Shin Cho and Min Jin Go and Young Jin Kim and Jee Yeon Heo and Ji Hee Oh and Hyo-Jeong Ban and Dankyu Yoon and Mi Hee Lee and Dong-Joon Kim and Miey Park and Seung-Hun Cha and Jun-Woo Kim and Bok-Ghee Han and Haesook Min and Younjhin Ahn and Man Suk Park and Hye Ree Han and Hye-Yoon Jang and Eun Young Cho and Jong-Eun Lee and Nam H Cho and Chol Shin and Taesung Park and Ji Wan Park and Jong-Keuk Lee and Lon Cardon and Geraldine Clarke and Mark I McCarthy and Jong-Young Lee and Jong-Koo Lee and Bermseok Oh and Hyung-Lae Kim},
journal = {Nat Genet},
title = {A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits},
abstract = {To identify genetic factors influencing quantitative traits of biomedical importance, we conducted a genome-wide association study in 8,842 samples from population-based cohorts recruited in Korea. For height and body mass index, most variants detected overlapped those reported in European samples. For the other traits examined, replication of promising GWAS signals in 7,861 independent Korean samples identified six previously unknown loci. For pulse rate, signals reaching genome-wide significance mapped to chromosomes 1q32 (rs12731740, P = 2.9 x 10(-9)) and 6q22 (rs12110693, P = 1.6 x 10(-9)), with the latter approximately 400 kb from the coding sequence of GJA1. For systolic blood pressure, the most compelling association involved chromosome 12q21 and variants near the ATP2B1 gene (rs17249754, P = 1.3 x 10(-7)). For waist-hip ratio, variants on chromosome 12q24 (rs2074356, P = 7.8 x 10(-12)) showed convincing associations, although no regional transcript has strong biological candidacy. Finally, we identified two loci influencing bone mineral density at multiple sites. On chromosome 7q31, rs7776725 (within the FAM3C gene) was associated with bone density at the radius (P = 1.0 x 10(-11)), tibia (P = 1.6 x 10(-6)) and heel (P = 1.9 x 10(-10)). On chromosome 7p14, rs1721400 (mapping close to SFRP4, a frizzled protein gene) showed consistent associations at the same three sites (P = 2.2 x 10(-3), P = 1.4 x 10(-7) and P = 6.0 x 10(-4), respectively). This large-scale GWA analysis of well-characterized Korean population-based samples highlights previously unknown biological pathways.},
affiliation = {Center for Genome Science, National Institute of Health, Seoul, Korea.},
number = {5},
pages = {527--34},
volume = {41},
year = {2009},
month = {May},
language = {eng},
keywords = {Cohort Studies, Polymorphism: Single Nucleotide, Genome: Human, Middle Aged, Adult, Aged, Waist-Hip Ratio, Body Mass Index, Humans, Genome-Wide Association Study, Genotype, Bone Density, Genetic Predisposition to Disease, Quantitative Trait Loci, Asian Continental Ancestry Group},
date-added = {2010-02-12 15:48:10 +0100},
date-modified = {2010-02-12 15:48:10 +0100},
doi = {10.1038/ng.357},
pii = {ng.357},
pmid = {19396169},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Cho-2009-Nat%20Genet_A%20large-scale%20genome.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5611},
rating = {0}
}

@article{Tomaskovic-Devey:1994,
author = {D Tomaskovic-Devey and J Leiter and S Thompson},
journal = {Administrative Science Quarterly},
title = {Organizational survey nonresponse},
abstract = {Organizational surveys often have fairly low response rates. Sample surveys with low response rates can produce biased samples, particularly if key organizational characteristics affect the pattern of survey response. In this paper we develop an organizational theory of survey response that details why well-known organizational characteristics should be expected to influence the probability that an organization will respond to a survey request. We then test the empirical predictions of this theory on a survey of private, for-profit employment organizations.},
pages = {439--457},
volume = {39},
year = {1994},
date-added = {2010-01-03 19:34:17 +0100},
date-modified = {2010-01-03 19:34:18 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p984},
rating = {0}
}

@article{Eiser:1997p8500,
author = {C Eiser},
journal = {Arch Dis Child},
title = {Children's quality of life measures},
affiliation = {Department of Psychology, University of Exeter, Devon.},
number = {4},
pages = {350--4},
volume = {77},
year = {1997},
month = {Oct},
language = {eng},
keywords = {Quality-Adjusted Life Years, Neoplasms, Diabetes Mellitus: Type 1, Adolescent, Quality of Life, Forecasting, Child: Preschool, Health Status Indicators, Attitude to Health, Child, Humans, Infant, Asthma},
date-added = {2010-03-21 18:00:36 +0100},
date-modified = {2010-07-29 19:17:10 +0200},
pmid = {9389244},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Eiser-1997-Arch%20Dis%20Child_Children's%20quality%20o.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8500},
rating = {0}
}

@article{Kuss:2003p2365,
author = {M Kuss and T Graepel},
title = {The Geometry Of Kernel Canonical Correlation Analysis},
abstract = {Canonical correlation analysis (CCA) is a classical multivariate method concerned with describing linear dependencies between sets of variables. After a short exposition of the linear sample CCA problem and its analytical solution, the article proceeds with a detailed characterization of its geometry. Projection operators are used to illustrate the relations between canonical vectors and variates. The article then addresses the problem of CCA between spaces spanned by objects mapped into kernel feature spaces. An exact solution for this kernel canonical correlation (KCCA) problem is derived from a geometric point of view. It shows that the expansion coefficients of the canonical vectors in their respective feature space can be found by linear CCA in the basis induced by kernel principal component analysis. The effect of mappings into higher dimensional feature spaces is considered critically since it simplifies the CCA problem in general. Then two regularized variants of KCCA are discussed. Relations to other methods are illustrated, e.g., multicategory kernel Fisher discriminant analysis, kernel principal component regression and possible applications thereof in blind source separation.},
year = {2003},
date-added = {2010-01-10 13:40:53 +0100},
date-modified = {2010-01-10 13:41:36 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kuss-2003-_The%20Geometry%20Of%20Kern.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2365},
rating = {0}
}

@article{vanderValk:2001p1262,
author = {J C van der Valk and E J van den Oord and F C Verhulst and D Boomsma},
journal = {J Child Psychol Psychiatry},
title = {Using parental ratings to study the etiology of 3-year-old twins' problem behaviors: different views or rater bias?},
abstract = {Child Behavior Checklist questionnaires (Achenbach, 1992), filled in separately by mothers and fathers, were collected for an effective sample of 3,501 Dutch 3-year-old twin pairs. To disentangle the child's phenotype from that of the rater, two contrasting models were fitted to the data. One model, called a Rater Bias model, is based on the assumption that both parents assess exactly the same behaviors in the child. A weaker alternative of this model, called a Psychometric model, assumes that apart from these common behavioral views, each parent also assesses a unique aspect of the child's behavior. A Psychometric model fitted the data of both Internalizing and Externalizing scales significantly better than a Rater Bias model. This implied that each parent provided unique information from his or her own perspective, apart from the common behavioral view. Using this best fitting model, the etiology of both the Internalizing and Externalizing scales was studied. Common factors (influencing behaviors similarly assessed by both parents) were more important than unique factors (influencing behaviors uniquely assessed by one parent). Common genetic factors explained about 50% of the variance of both scales, indicating a possible inborn vulnerability to childhood psychopathology. Common environmental factors not shared between twins (free of unreliability and error) explained around 14% of both scales, suggesting the importance of pure idiosyncratic experiences even for children as young as 3 years. Common environmental factors shared between twins (unconfounded by rater bias) were only found for the Externalizing scale, explaining 18% of the variance. Rater bias and unreliability, if present in the data, were included in the estimates of the unique factors. Unique genetic, shared, and nonshared environmental factors each explained around 8% of the variance for both scales. These small effects could be detected because of the large sample of twin pairs used.},
affiliation = {Department of Biological Psychology,Vrije Universiteit, Amsterdam, The Netherlands. Jolande@bhp.be},
number = {7},
pages = {921--31},
volume = {42},
year = {2001},
month = {Oct},
language = {eng},
keywords = {Male, Child Behavior Disorders, Adult, Genetic Predisposition to Disease, Female, Parents, Observer Variation, Twins, Netherlands, Child: Preschool, Models: Statistical, Child Behavior, Humans, Internal-External Control},
date-added = {2010-01-07 11:24:45 +0100},
date-modified = {2010-07-29 19:32:47 +0200},
pmid = {11693587},
local-url = {file://localhost/Users/chl/Dropbox/Papers/van%20der%20Valk-2001-J%20Child%20Psychol%20Psychiatry_Using%20parental%20ratin.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1262},
rating = {0}
}

@article{Schellenberg:2006p2437,
author = {G D Schellenberg and G Dawson and Y J Sung and A Estes and J Munson and E Rosenthal and J Rothstein and P Flodman and M Smith and H Coon and L Leong and C-E Yu and C Stodgell and P M Rodier and M A Spence and N Minshew and W M McMahon and E M Wijsman},
journal = {Mol Psychiatry},
title = {Evidence for multiple loci from a genome scan of autism kindreds},
abstract = {We performed a genome-wide linkage scan using highly polymorphic microsatellite markers. To minimize genetic heterogeneity, we focused on sibpairs meeting the strict diagnosis of autism. In our primary analyses, we observed a strong linkage signal (P=0.0006, 133.16 cM) on chromosome 7q at a location coincident with other linkage studies. When a more relaxed diagnostic criteria was used, linkage evidence at this location was weaker (P=0.01). The sample was stratified into families with only male affected subjects (MO) and families with at least one female affected subject (FC). The strongest signal unique to the MO group was on chromosome 11 (P=0.0009, 83.82 cM), and for the FC group on chromosome 4 (P=0.002, 111.41 cM). We also divided the sample into regression positive and regression negative families. The regression-positive group showed modest linkage signals on chromosomes 10 (P=0.003, 0 cM) and 14 (P=0.005, 104.2 cM). More significant peaks were seen in the regression negative group on chromosomes 3 (P=0.0002, 140.06 cM) and 4 (P=0.0005, 111.41 cM). Finally, we used language acquisition data as a quantitative trait in our linkage analysis and observed a chromosome 9 signal (149.01 cM) of P=0.00006 and an empirical P-value of 0.0008 at the same location. Our work provides strong conformation for an autism locus on 7q and suggestive evidence for several other chromosomal locations. Diagnostic specificity and detailed analysis of the autism phenotype is critical for identifying autism loci.},
affiliation = {Geriatrics Research Education and Clinical Center, Puget Sound Veterans Affairs Medical Center, Seattle, WA 98108, USA. zachdad@u.washington.edu},
number = {11},
pages = {1049--60, 979},
volume = {11},
year = {2006},
month = {Nov},
language = {eng},
keywords = {Microsatellite Repeats, Chromosome Mapping, Female, Child: Preschool, Autistic Disorder, Adult, Phenotype, Chromosomes: Human: Pair 7, Pedigree, Genome, Adolescent, Child, Linkage (Genetics), Male, Humans, Siblings, Genetic Predisposition to Disease},
date-added = {2010-01-11 23:47:30 +0100},
date-modified = {2010-01-11 23:47:30 +0100},
doi = {10.1038/sj.mp.4001874},
pii = {4001874},
pmid = {16880825},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Schellenberg-2006-Mol%20Psychiatry_Evidence%20for%20multipl.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2437},
rating = {0}
}

@article{Chung:2010p1617,
author = {D Chung and S Keles},
title = {Sparse Partial Least Squares Classification for High Dimensional Data},
abstract = {Partial least squares (PLS) is a well known dimension reduction method which has been recently adapted for high dimensional classification problems. We develop sparse versions of the recently proposed two PLS-based classification methods using sparse partial least squares (SPLS). These sparse versions aim to achieve variable selection and dimension reduction simultaneously. We consider both binary and multicategory classification. We provide analytical and simulation-based insights about the variable selection properties of these approaches and benchmark them on well known publicly available datasets that involve tumor classification with high dimensional gene expres- sion data. We show that incorporation of SPLS into a generalized linear model (GLM) framework provides higher sensitivity in variable selection for multicategory classifica- tion with unbalanced sample sizes between classes. As the sample size increases, the two-stage approach provides comparable sensitivity with better specificity in variable selection. In binary classification and multicategory classification with balanced sam- ple sizes, the two-stage approach provides comparable variable selection and prediction accuracy as the GLM version and is computationally more efficient.
R package, datasets and results of computational experiments on additional pub- licly available gene expression datasets are available in the online supplements.},
date-added = {2010-01-07 17:17:43 +0100},
date-modified = {2010-01-07 17:18:26 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Chung--_Sparse%20Partial%20Least.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1617},
rating = {0}
}

@article{Parkhomenko2009,
author = {E Parkhomenko and D Tritchler and J Beyene},
journal = {Statistical Applications in Genetics and Molecular Biology},
title = {Sparse Canonical Correlation Analysis with Application to Genomic Data Integration},
note = {Article 1},
number = {1},
volume = {8},
year = {2009},
date-added = {2010-01-12 14:26:51 +0100},
date-modified = {2010-01-12 14:26:52 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2560},
rating = {0}
}

@article{McCarroll:2008p4249,
author = {Steven A McCarroll},
journal = {Hum Mol Genet},
title = {Extending genome-wide association studies to copy-number variation},
abstract = {Appreciating the contribution of human genome copy-number variation (CNV) to clinical phenotypes is one of the compelling genetics challenges of the coming years. It is increasingly possible to pursue such investigations as an extension of genome-wide association studies (GWAS), enabled by innovations in the design and analysis of SNP (single nucleotide polymorphism) arrays and by progress in determining the genomic locations and population-genetic properties of the CNVs that segregate in the human population. Extensions of GWAS to CNV have already resulted in discoveries of both de novo and inherited CNV that are associated with risk of common disease. This review will discuss new approaches, recent findings and the analytical challenges involved in expanding GWAS to appreciate the contribution of CNV to human phenotypes.},
affiliation = {Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. smccarro@broad.mit.edu},
number = {R2},
pages = {R135--42},
volume = {17},
year = {2008},
month = {Oct},
language = {eng},
keywords = {Disease, Gene Dosage, Genome-Wide Association Study, Humans, Heredity, Genotype, Genetic Predisposition to Disease, Genetics: Population},
date-added = {2010-01-21 10:59:28 +0100},
date-modified = {2010-07-29 19:28:52 +0200},
doi = {10.1093/hmg/ddn282},
pii = {ddn282},
pmid = {18852202},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4249},
rating = {0}
}

@article{vanOppen:1992p5514,
author = {P van Oppen},
journal = {Behaviour Research and Therapy},
title = {Obsessions and compulsions: dimensional structure, reliability, convergent and divergent validity of the Padua Inventory},
abstract = {This study presents data on dimensional structure, reliability, convergent and divergent validity of the Padua Inventory (PI). In a sample (n = 430) of normal Dutch subjects. The dimensional structure and the strength of the factors were comparable to those found in the Italian sample. The reliability of the PI was found to be satisfactory. As hypothesized substantial correlations were found between the PI and related scales of the Maudsley Obsessive-Compulsive Inventory (MOCI) and between the PI and the subscales Sensitivity, Hostility and Depression of the revised version of the Symptom Checklist. Low correlations were found between the PI on the one side and the Eysenck Personality Questionnaire revised Extraversion, Psychoticism and Social Desirability scale on the other side. Finally, the mean score of the PI differs across the Italian, American and Dutch samples. This is of theoretical interest and deserves further study.},
affiliation = {Free University, Faculty of Medicine, Department of Psychiatry, Amsterdam Psychiatric Centre, The Netherlands.},
number = {6},
pages = {631--7},
volume = {30},
year = {1992},
month = {Nov},
language = {eng},
keywords = {Female, Obsessive-Compulsive Disorder, Cross-Cultural Comparison, Middle Aged, Adult, Adolescent, Reproducibility of Results, Aged, Reference Values, Humans, Personality Inventory, Male, Psychometrics, Netherlands},
date-added = {2010-02-12 14:59:36 +0100},
date-modified = {2010-07-29 19:18:50 +0200},
pii = {0005-7967(92)90008-5},
pmid = {1417688},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5514},
rating = {0}
}

@article{Zhang:2002p13230,
author = {N L Zhang},
title = {Hierarchical Latent Class Models for Cluster Analysis},
abstract = {Latent class models are used for cluster analysis of cat- egorical data. Underlying such a model is the assump- tion that the observed variables are mutually indepen- dent given the class variable. A serious problem with the use of latent class models, known as local depen- dence, is that this assumption is often untrue. In this paper we propose hierarchical latent class models as a framework where the local dependence problem can be addressed in a principled manner. We develop a search-based algorithm for learning hierarchical latent class models from data. The algorithm is evaluated us- ing both synthetic and real-world data.},
year = {2002},
date-added = {2010-07-01 17:25:49 +0200},
date-modified = {2010-07-01 17:26:33 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Zhang-2002-_Hierarchical%20Latent.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13230},
rating = {5}
}

@article{Richards:2008p11914,
author = {Alexander L Richards and Peter Holmans and Michael C O'donovan and Michael J Owen and Lesley Jones},
journal = {BMC Bioinformatics},
title = {A comparison of four clustering methods for brain expression microarray data},
abstract = {BACKGROUND: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they produce can be an obstacle to interpretation of the results. Clustering the genes on the basis of similarity of their expression profiles can simplify the data, and potentially provides an important source of biological inference, but these methods have not been tested systematically on datasets from complex human tissues. In this paper, four clustering methods, CRC, k-means, ISA and memISA, are used upon three brain expression datasets. The results are compared on speed, gene coverage and GO enrichment. The effects of combining the clusters produced by each method are also assessed. RESULTS: k-means outperforms the other methods, with 100% gene coverage and GO enrichments only slightly exceeded by memISA and ISA. Those two methods produce greater GO enrichments on the datasets used, but at the cost of much lower gene coverage, fewer clusters produced, and speed. The clusters they find are largely different to those produced by k-means. Combining clusters produced by k-means and memISA or ISA leads to increased GO enrichment and number of clusters produced (compared to k-means alone), without negatively impacting gene coverage. memISA can also find potentially disease-related clusters. In two independent dorsolateral prefrontal cortex datasets, it finds three overlapping clusters that are either enriched for genes associated with schizophrenia, genes differentially expressed in schizophrenia, or both. Two of these clusters are enriched for genes of the MAP kinase pathway, suggesting a possible role for this pathway in the aetiology of schizophrenia. CONCLUSION: Considered alone, k-means clustering is the most effective of the four methods on typical microarray brain expression datasets. However, memISA and ISA can add extra high-quality clusters to the set produced by k-means, so combining these three methods is the method of choice.},
affiliation = {Department of Psychological Medicine, School of Medicine, University Hospital Wales, Heath Park, Cardiff, Wales, UK. richardsal1@cardiff.ac.uk},
pages = {490},
volume = {9},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Schizophrenia, Gene Expression, Internet, Computational Biology, Gene Expression Profiling, Cluster Analysis, Oligonucleotide Array Sequence Analysis, Humans, Algorithms, Brain, Databases: Genetic, Data Interpretation: Statistical},
date-added = {2010-05-23 16:38:21 +0200},
date-modified = {2010-05-23 16:38:25 +0200},
doi = {10.1186/1471-2105-9-490},
pii = {1471-2105-9-490},
pmid = {19032745},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Richards-2008-BMC%20Bioinformatics_A%20comparison%20of%20four.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11914},
rating = {4}
}

@article{Vansteelandt:1999p2668,
author = {K Vansteelandt},
journal = {European Journal of Personality},
title = {A Formal Model for the Competency-Demand Hypothesis},
abstract = {The goal of contextualized approaches to personality is twofold: (a) to describe individual differences in situation$\pm$response pro{\textregistered}les in a parsimonious way and (b) to grasp the psychological mechanisms at the basis of these individual differences. In this paper, it is argued that formal models can be useful to reach this goal. In particular, an item response theory (IRT) model is proposed that formalizes the competency$\pm$demand hypothesis, a possible psychological mechanism at the basis of failure behaviour (Wright and Mischel, 1987). The latter hypothesis implies that a person will display a failure response (e.g. aggression) in a situation whenever the demands of the situation are larger than the competency of the person to such an extent that the threshold of the failure response is exceeded. In an empirical study on self-reported hostility in frustrating situations, it is illustrated how the proposed model can be estimated and tested.},
pages = {429--442},
volume = {13},
year = {1999},
date-added = {2010-01-13 09:32:19 +0100},
date-modified = {2010-01-13 09:33:24 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Vansteelandt-1999-European%20Journal%20of%20Personality_A%20Formal%20Model%20for%20t.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2668},
rating = {0}
}

@article{Fossati:2007p13548,
author = {Andrea Fossati and Ernest S Barratt and Serena Borroni and Daniele Villa and Federica Grazioli and Cesare Maffei},
journal = {Psychiatry Res},
title = {Impulsivity, aggressiveness, and DSM-IV personality disorders},
abstract = {The aim of this study is to assess whether impulsive and aggressive traits can be placed on a continuum with DSM-IV Cluster B Personality Disorders (PDs) and to determine if different aspects of these personality traits are specifically associated with individual Cluster B PDs. The study group comprised 461 outpatients admitted consecutively to a clinic that specializes in the diagnosis and treatment of PDs. Principal component analyses clearly suggested a five-factor structure of both normal and psychopathological personality traits. Importantly, measures of impulsivity, aggressiveness and novelty seeking formed a part of the principal component that clustered all Cluster B PDs. Regression analyses indicated that impulsive traits were selectively associated with Borderline PD whereas different aspects of aggressiveness were useful in discriminating Narcissistic PD from Antisocial PD. Sensation seeking traits formed a part of Histrionic PD. These results indicate that impulsive/aggressive traits may be useful in explaining both why Cluster B PDs tend to covary, and why they frequently differ in clinical pictures and courses.},
affiliation = {Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy. fossati.andrea@hsr.it},
number = {1-3},
pages = {157--67},
volume = {149},
year = {2007},
month = {Jan},
language = {eng},
keywords = {Character, Factor Analysis: Statistical, Impulse Control Disorders, Object Attachment, Female, Severity of Illness Index, Humans, Exploratory Behavior, Personality Disorders, Temperament, Adult, Male, Diagnostic and Statistical Manual of Mental Disorders, Aggression},
date-added = {2010-07-07 21:06:49 +0200},
date-modified = {2010-07-07 21:06:50 +0200},
doi = {10.1016/j.psychres.2006.03.011},
pii = {S0165-1781(06)00084-9},
pmid = {17157921},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Fossati-2007-Psychiatry%20Res_Impulsivity%20aggress.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13548},
rating = {0}
}

@techreport{Presnell:1994,
author = {B Presnell and J G Booth},
journal = {Techreport},
title = {Resampling methods for sample survey},
affiliation = {Department of Statistics, University of Florida},
number = {470},
year = {1994},
date-added = {2010-01-10 11:33:22 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Presnell-1994-Techreport_Resampling%20methods%20f.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2099},
rating = {0}
}

@article{Kupek:2002p8399,
author = {Emil Kupek},
journal = {BMC Med Res Methodol},
title = {Bias and heteroscedastic memory error in self-reported health behavior: an investigation using covariance structure analysis},
abstract = {BACKGROUND: Frequent use of self-reports for investigating recent and past behavior in medical research requires statistical techniques capable of analyzing complex sources of bias associated with this methodology. In particular, although decreasing accuracy of recalling more distant past events is commonplace, the bias due to differential in memory errors resulting from it has rarely been modeled statistically. METHODS: Covariance structure analysis was used to estimate the recall error of self-reported number of sexual partners for past periods of varying duration and its implication for the bias. RESULTS: Results indicated increasing levels of inaccuracy for reports about more distant past. Considerable positive bias was found for a small fraction of respondents who reported ten or more partners in the last year, last two years and last five years. This is consistent with the effect of heteroscedastic random error where the majority of partners had been acquired in the more distant past and therefore were recalled less accurately than the partners acquired more recently to the time of interviewing. CONCLUSIONS: Memory errors of this type depend on the salience of the events recalled and are likely to be present in many areas of health research based on self-reported behavior.},
affiliation = {Universidade Federal de Santa Catarina, Departamento de Sa{\'u}de P{\'u}blica-CCS, Campus Universitario, Trindade, 88,040-900 Florian{\'o}polis-SC, Brazil. kupek@repensul.ufsc.br},
pages = {14},
volume = {2},
year = {2002},
month = {Nov},
language = {eng},
keywords = {Male, Bias (Epidemiology), Adult, Questionnaires, Data Interpretation: Statistical, Age Factors, Great Britain, Models: Statistical, Reproducibility of Results, Health Surveys, Memory, Life Style, Sexual Partners, Time, Humans, Sexual Behavior, Health Behavior, Self Disclosure},
date-added = {2010-03-21 13:36:52 +0100},
date-modified = {2010-03-21 13:36:54 +0100},
pmid = {12435276},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kupek-2002-BMC%20Med%20Res%20Methodol_Bias%20and%20heterosceda.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8399},
rating = {4}
}

@article{Slawski:2008p523,
author = {M Slawski and M Daumer and A-L Boulesteix},
journal = {BMC Bioinformatics},
title = {CMA: a comprehensive Bioconductor package for supervised classification with high dimensional data},
abstract = {BACKGROUND: For the last eight years, microarray-based classification has been a major topic in statistics, bioinformatics and biomedicine research. Traditional methods often yield unsatisfactory results or may even be inapplicable in the so-called "p >> n" setting where the number of predictors p by far exceeds the number of observations n, hence the term "ill-posed-problem". Careful model selection and evaluation satisfying accepted good-practice standards is a very complex task for statisticians without experience in this area or for scientists with limited statistical background. The multiplicity of available methods for class prediction based on high-dimensional data is an additional practical challenge for inexperienced researchers. RESULTS: In this article, we introduce a new Bioconductor package called CMA (standing for "Classification for MicroArrays") for automatically performing variable selection, parameter tuning, classifier construction, and unbiased evaluation of the constructed classifiers using a large number of usual methods. Without much time and effort, users are provided with an overview of the unbiased accuracy of most top-performing classifiers. Furthermore, the standardized evaluation framework underlying CMA can also be beneficial in statistical research for comparison purposes, for instance if a new classifier has to be compared to existing approaches. CONCLUSION: CMA is a user-friendly comprehensive package for classifier construction and evaluation implementing most usual approaches. It is freely available from the Bioconductor website at (http://bioconductor.org/packages/2.3/bioc/html/CMA.html).},
affiliation = {Sylvia Lawry Centre for Multiple Sclerosis Research, Munich, Germany. martin.slawski@campus.lmu.de},
pages = {439},
volume = {9},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Area Under Curve, Neural Networks (Computer), Statistics: Nonparametric, Computer Simulation, Discriminant Analysis, Sensitivity and Specificity, Monte Carlo Method, Computational Biology, User-Computer Interface, Least-Squares Analysis, Logistic Models, Reproducibility of Results, Software, Algorithms, Models: Statistical, Microarray Analysis, Internet},
date-added = {2010-01-03 13:36:59 +0100},
date-modified = {2010-01-03 13:36:59 +0100},
doi = {10.1186/1471-2105-9-439},
pii = {1471-2105-9-439},
pmid = {18925941},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Slawski-2008-BMC%20Bioinformatics_CMA%20a%20comprehensive.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p523},
rating = {0}
}

@article{Maris:2004p14008,
author = {Gunter Maris and Timo M Bechger},
journal = {Psychometrika},
title = {Equivalent MIRID models},
number = {4},
pages = {627--639},
volume = {69},
year = {2004},
date-added = {2010-08-04 09:32:54 +0200},
date-modified = {2010-08-04 09:33:38 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Maris-2004-Psychometrika_Equivalent%20MIRID%20mod.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14008},
rating = {0}
}

@article{Boosma:2000p1295,
author = {D I Boosma and C V Dolan},
title = {Multivariate QTL analysis using structural equation modeling: A look at power under simple conditions},
year = {2000},
date-added = {2010-01-07 11:32:14 +0100},
date-modified = {2010-01-07 11:33:21 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Boosma-2000-_Multivariate%20QTL%20ana.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1295},
rating = {0}
}

@article{Qiu:2009p13497,
author = {Ping Qiu and Xiao-Yan Cai and Wei Ding and Qing Zhang and Ellie D Norris and Jonathan R Greene},
journal = {J Biomed Sci},
title = {HCV genotyping using statistical classification approach},
abstract = {The genotype of Hepatitis C Virus (HCV) strains is an important determinant of the severity and aggressiveness of liver infection as well as patient response to antiviral therapy. Fast and accurate determination of viral genotype could provide direction in the clinical management of patients with chronic HCV infections. Using publicly available HCV nucleotide sequences, we built a global Position Weight Matrix (PWM) for the HCV genome. Based on the PWM, a set of genotype specific nucleotide sequence "signatures" were selected from the 5' NCR, CORE, E1, and NS5B regions

repository: sergiud/bibtex-spirit

repo_name: sergiud/bibtex-spirit

gha_license_id: MIT