text:
to Disease, Linkage (Genetics), Genetics: Population, Polymorphism: Genetic, Humans, Gene Frequency, Epistasis: Genetic, Linkage Disequilibrium, Genotype},
date-added = {2010-02-09 22:28:58 +0100},
date-modified = {2010-07-29 19:38:44 +0200},
doi = {10.1016/S0140-6736(05)67424-7},
pii = {S0140-6736(05)67424-7},
pmid = {16182901},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Cordell-2005-Lancet_Genetic%20association.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5293},
read = {Yes},
rating = {5}
}

@article{RavensSieberer:2010p13375,
author = {Ulrike Ravens-Sieberer and Nora Wille and Xavier Badia and Gouke Bonsel and Kristina Burstr{\"o}m and Gulia Cavrini and Nancy Devlin and Ann-Charlotte Egmar and Narcis Gusi and Michael Herdman and Jennifer Jelsma and Paul Kind and Pedro R Olivares and Luciana Scalone and Wolfgang Greiner},
journal = {Qual Life Res},
title = {Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study},
abstract = {PURPOSE: To examine the feasibility, reliability, and validity of the newly developed EQ-5D-Y. METHODS: The EQ-5D-Y was administered in population samples of children and adolescents in Germany, Italy, South Africa, Spain, and Sweden. Percentages of missing values and reported problems were calculated. Test-retest reliability was determined. Spearman's rank correlation coefficients with other generic measures of HRQOL were calculated. Known groups' validity was examined by comparing groups with a priori expected differences in HRQOL. RESULTS: Between 91 and 100% of the respondents provided valid scorings. Sweden had the lowest proportion of reported problems (1-24.9% across EQ-5D-Y dimensions), with the highest proportions in South Africa (2.8-47.3%) and Italy (4.3-39.0%). Percentages of agreement in test-retest reliability ranged between 69.8 and 99.7% in the EQ-5D-Y dimensions; Kappa coefficients were up to 0.67. Correlation coefficients with other measures of self-rated health indicated convergent validity (up to r = -0.56). Differences between groups classified according to presence of chronic conditions, self-rated overall health and psychological problems provided preliminary evidence of known groups' validity. CONCLUSIONS: Results provide preliminary evidence of the instrument's feasibility, reliability and validity. Further study is required in clinical samples and for possible future applications in economic analyses.},
affiliation = {Department of Psychosomatics in Children and Adolescents, Research Unit Child Public Health, University Medical Center Hamburg-Eppendorf, Martinistr 52, 20246 Hamburg, Germany. ravens-sieberer@uke.de},
number = {6},
pages = {887--97},
volume = {19},
year = {2010},
month = {Aug},
language = {eng},
date-added = {2010-07-01 19:11:02 +0200},
date-modified = {2010-07-29 19:48:28 +0200},
doi = {10.1007/s11136-010-9649-x},
pmid = {20401552},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Ravens-Sieberer-2010-Qual%20Life%20Res_Feasibility%20reliabi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13375},
rating = {0}
}

@article{Purcell:2004p2290,
author = {Shaun Purcell and Pak Sham},
journal = {Hum Hered},
title = {Properties of structured association approaches to detecting population stratification},
abstract = {OBJECTIVE: To examine the properties of the structured association approach for the detection and correction of population stratification. METHOD: A method is developed, within a latent class analysis framework, similar to the methods proposed by Satten et al. (2001) and Pritchard et al. (2000). A series of simulations illustrate the relative impact of number and type of loci, sample size and population structure. RESULTS: The ability to detect stratification and assign individuals to population strata is determined for a number of different scenarios. CONCLUSION: The results underline the importance of careful marker selection.},
affiliation = {Whitehead Institute, Nine Cambridge Center, Cambridge, MA 02129, USA. soyrcekk@pngu.mgh.harvard.edu},
number = {2},
pages = {93--107},
volume = {58},
year = {2004},
month = {Jan},
language = {eng},
keywords = {linkage disequilibrium, Genetics: Population, Humans, Algorithms, Data Interpretation: Statistical, Gene Frequency, Computer Simulation},
date-added = {2010-01-10 12:03:57 +0100},
date-modified = {2010-01-10 12:03:57 +0100},
doi = {10.1159/000083030},
pii = {HHE2004058002093},
pmid = {15711089},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Purcell-2004-Hum%20Hered_Properties%20of%20struct.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2290},
rating = {0}
}

@article{Huff:2000p1607,
author = {K L Huff},
title = {Evaluating differential item functioning across selected item formats on a large-scale certification examination},
year = {2000},
date-added = {2010-01-07 17:02:58 +0100},
date-modified = {2010-01-07 17:03:59 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Huff-2000-_Evaluating%20different.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1607},
rating = {0}
}

@article{Choppin:1983p3284,
author = {B Choppin},
title = {A fully conditional estimation procedure for Rasch model parameters},
year = {1983},
date-added = {2010-01-14 21:15:47 +0100},
date-modified = {2010-01-14 21:16:19 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Choppin-1983-_A%20fully%20conditional.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3284},
rating = {0}
}

@article{Kendler:1996,
author = {KS Kendler and TJ Gallagher and JM Abelson and RC Kessler},
journal = {Arch Gen Psychiatry},
title = {Lifetime prevalence, demographic risk factors, and diagnostic validity of nonaffective psychosis as assessed in a US community sample},
abstract = {BACKGROUND: We seek to estimate lifetime prevalence and demographic correlates of nonaffective psychosis in the US population assessed by a computer-analyzed structured interview and a senior clinician. METHODS: In the National Comorbidity Survey, a probability subsample of 5877 respondents were administered a screen for psychotic symptoms. Based on the response to this screening, detailed follow-up interviews were conducted by mental health professionals (n = 454). The initial screen and clinical reinterview were reviewed by a senior clinician. Results are presented for narrowly (schizophrenia or schizophreniform disorder) and broadly (all nonaffective psychoses) defined psychotic illness. RESULTS: One or more psychosis screening questions were endorsed by 28.4% of individuals. By computer algorithm, lifetime prevalences of narrowly and broadly defined psychotic illness were 1.3% and 2.2%, respectively. Of those assigned a narrow diagnosis by the computer, the senior clinician assigned narrow and broad diagnoses to 10% and 37%, respectively. By clinician diagnosis, lifetime prevalence rates of narrowly and broadly defined psychosis were 0.2% and 0.7%, respectively. A clinician diagnosis of nonaffective psychosis was significantly associated with low income; unemployment a marital status of single, divorced, or separated; and urban residence Clinician confirmation of a computer diagnosis was predicted by hospitalization, neuroleptic treatment, duration of illness, enduring impairment, and thought disorder. CONCLUSIONS: Lifetime prevalence estimates of psychosis in community samples are strongly influenced by methods of assessment and diagnosis. Although results using computer algorithms were similar in the National Comorbidity Survey and Epidemiologic Catchment Area studies, diagnoses so obtained agreed poorly with clinical diagnoses. Accurate assessment of psychotic illness in epidemiologic samples may require collection of extensive contextual information for clinician review.},
number = {11},
pages = {1022--1031},
volume = {53},
year = {1996},
date-added = {2010-01-03 19:36:09 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1083},
rating = {0}
}

@article{Gelhorn:2008,
author = {Heather Gelhorn and Christie Hartman and Joseph Sakai and Michael Stallings and Susan Young and Soo Hyun Rhee and Robin Corley and John Hewitt and Christian Hopfer and Thomas Crowley},
journal = {J Am Acad Child Adolesc Psychiatry},
title = {Toward DSM-V: an item response theory analysis of the diagnostic process for DSM-IV alcohol abuse and dependence in adolescents.},
abstract = {OBJECTIVE: Item response theory analyses were used to examine alcohol abuse and dependence symptoms and diagnoses in adolescents. Previous research suggests that the DSM-IV alcohol use disorder (AUD) symptoms in adolescents may be characterized by a single dimension. The present study extends prior research with a larger and more comprehensive sample and an examination of an alternative diagnostic algorithm for AUDs. METHOD: Approximately 5,587 adolescents between the ages of 12 and 18 years from adjudicated, clinical, and community samples were administered structured clinical interviews. Analyses were conducted to examine the severity of alcohol abuse and dependence symptoms and the severity of alcohol use problems (AUDs) within the diagnostic categories created by the DSM-IV. RESULTS: Although the DSM-IV diagnostic categories differ in severity of AUDs, there is substantial overlap and inconsistency in AUD severity of persons across these categories. Item Response Theory-based AUD severity estimates suggest that many persons diagnosed with abuse have AUD severity greater than persons with dependence. Similarly, many persons who endorse some symptoms but do not qualify for a diagnosis (i.e., diagnostic orphans) have more severe AUDs than persons with an abuse diagnosis. Additionally, two dependence items, "tolerance" and "larger/longer," show differences in severity between samples. CONCLUSIONS: The distinction between DSM-IV abuse and dependence based on severity can be improved using an alternative diagnostic algorithm that considers all of the alcohol abuse and dependence symptoms conjointly.},
affiliation = {School of Medicine at the University of Colorado at Denver, CO, USA. Heather.Gelhorn@UCHSC.edu},
number = {11},
pages = {1329--1339},
volume = {47},
year = {2008},
month = {Nov},
language = {eng},
date-added = {2010-01-03 19:38:22 +0100},
date-modified = {2010-07-29 19:31:33 +0200},
doi = {10.1097/CHI.0b013e318184ff2e},
pmid = {18827724},
URL = {http://dx.doi.org/10.1097/CHI.0b013e318184ff2e},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1128},
rating = {0}
}

@article{Orelien:2008p9834,
author = {J G Orelien and LJ Edwards},
journal = {Computational Statistics},
title = {Fixed-effect variable selection in linear mixed models using R2 statistics},
abstract = {In the linear mixed model (LMM), several R2 statistics have been proposed for assessing the goodness-of-fit of fixed effects. However, the performance of these statistics has not been fully demonstrated either analytically or through simulations. We report results of simulations to asses the ability of these statistics to select the most parsimonious model. R2 statistics from a full model were compared to other models in which fixed-effect covariates were removed. The full model was also compared to an overfitted model that included additional covariates not linked to the outcome. All models compared involved the same random effects. In this paper, we show that R2 statistics that involve the residuals are unable to adequately discriminate between the correct model and one from which important fixed-effect covariates are omitted if the computation of the predicted values for the residuals included the random effects (referred to as conditional R2 statistics). However, if the random effects are excluded from the computation of the predicted values that lead to the residuals, these R2 statistics (referred to as marginal R2 statistics) are able to select the most parsimonious model. Other R2 statistics that have been proposed by Xu [2003. Measuring explained variation in linear mixed effects models. Statist. Med. 22(22), 3527--3541] performed poorly in that there was little variation in the value of these statistics from a full model to a reduced model.},
pages = {1896--1907},
volume = {52},
year = {2008},
date-added = {2010-03-26 19:23:30 +0100},
date-modified = {2010-07-29 19:24:31 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Orelien-2008-Computational%20Statistics_Fixed-effect%20variabl.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9834},
rating = {0}
}

@article{Blazer:1994,
author = {DG Blazer and RC Kessler and KA McGonagle and MS Swartz},
journal = {American Journal of Psychiatry},
title = {The prevalence and distribution of major depression in national community sample: the National Comorbidity Survey},
abstract = {OBJECTIVE: Major depression is a frequent and disabling psychiatric disorder in the United States. This report examines the prevalence and risk factor profile of both pure and comorbid major depression according to data from the National Comorbidity Survey. METHOD: To estimate the prevalence of psychiatric comorbidity in the United States, a national sample of 8,098 persons 15-54 years of age from the 48 conterminous states was surveyed with a modified version of the Composite International Diagnostic Interview. Results: From the survey data the prevalence of current (30-day) major depression was estimated to be 4.9%, with a relatively higher prevalence in females, young adults, and persons with less than a college education. The prevalence estimate for lifetime major depression was 17.1%, with a similar demographic distribution. Both 30-day and lifetime prevalence estimates were higher than estimates from the earlier Epidemiologic Catchment Area study. When pure major depression was compared with major depression co-occurring with other psychiatric disorders, the risk factor profiles exhibited clear differences. CONCLUSIONS: These findings suggest a greater burden of major depression in community- dwelling persons than has been estimated from previous community samples. The risk factor profile showed significant differences between persons with pure and combined major depression.},
number = {7},
pages = {979--986},
volume = {151},
year = {1994},
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/p1071},
rating = {0}
}

@article{Newcombe:1998p1712,
author = {R G Newcombe},
journal = {Stat Med},
title = {Improved confidence intervals for the difference between binomial proportions based on paired data},
abstract = {Existing methods for setting confidence intervals for the difference theta between binomial proportions based on paired data perform inadequately. The asymptotic method can produce limits outside the range of validity. The 'exact' conditional method can yield an interval which is effectively only one-sided. Both these methods also have poor coverage properties. Better methods are described, based on the profile likelihood obtained by conditionally maximizing the proportion of discordant pairs. A refinement (methods 5 and 6) which aligns 1-alpha with an aggregate of tail areas produces appropriate coverage properties. A computationally simpler method based on the score interval for the single proportion also performs well (method 10).},
affiliation = {Department of Medical Computing and Statistics, University of Wales College of Medicine, Heath Park, Cardiff, U.K.},
number = {22},
pages = {2635--50},
volume = {17},
year = {1998},
month = {Nov},
language = {eng},
keywords = {Binomial Distribution, Likelihood Functions, Confidence Intervals},
date-added = {2010-01-09 19:26:14 +0100},
date-modified = {2010-01-09 19:26:14 +0100},
pii = {10.1002/(SICI)1097-0258(19981130)17:22<2635::AID-SIM954>3.0.CO;2-C},
pmid = {9839354},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1712},
rating = {0}
}

@article{Graves:1995,
author = {J L Graves},
journal = {Journal of Negro Education},
title = {The pseudoscience of psychometry and the Bell Curve},
number = {3},
pages = {277--},
volume = {64},
year = {1995},
date-added = {2010-01-10 11:33:20 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1876},
rating = {0}
}

@article{Chen:2004p1748,
author = {S Chen and W Wang and K Broman and H A Katki and G Parmigiani},
journal = {Johns Hopkins University, Dept. of Biostatistics Working Papers},
title = {BayesMendel: An R Environment for Mendelian Risk Prediction},
abstract = {Several important syndromes are caused by deleterious germline mutations of in- dividual genes. In both clinical and research applications it is useful to evalu- ate the probability that an individual carries an inherited genetic variant of these genes, and to predict the risk of disease for that individual, using information on his/her family history. Mendelian risk prediction models accomplish these goals by integrating Mendelian principles and state-of-the art statistical models to de- scribe phenotype/genotype relationships. Here we introduce an R library called BayesMendel that allows implementation of Mendelian models in research and counseling settings. BayesMendel is implemented in an object--oriented structure in the language R and distributed freely as an open source library. In its first release, it includes two major cancer syndromes: the breast-ovarian cancer syn- drome and the hereditary non-polyposis colorectal cancer syndrome, along with up-to-date estimates of penetrance and prevalence for the corresponding genes. Input genetic parameters can be easily modified by users. BayesMendel can also serve as a generic tool for genetic epidemiologists to flexibly implement their own Mendelian models for novel syndromes and local subpopulations, without repro- gramming complex statistical analyses and prediction tools.},
number = {39},
year = {2004},
date-added = {2010-01-09 20:48:33 +0100},
date-modified = {2010-01-09 20:50:45 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Chen-2004-Johns%20Hopkins%20University%20Dept.%20of%20Biostatistics%20Working%20Papers_BayesMendel%20An%20R%20En.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1748},
rating = {0}
}

@article{Fan:1998p4008,
author = {X Fan},
journal = {Educational and Psychological Measurement},
title = {Item response theory and classical test theory: an empirical comparison of their item/person statistics},
abstract = {Despite theoretical differences between item response theory (IRT) and classical test theory (CTT), there is a lack of empirical knowledge about how, and to what extent, the IRT- and CTT-based item and person statistics behave differently. This study empirically examined the behaviors of the item and person statistics derived from these two measurement frameworks. The study focused on two issues: (a) What are the empirical relationships between IRT- and CTT-based item and person statistics? and (b) To what extent are the item statistics from IRT and those from CTT invariant across different participant samples? A large-scale statewide assessment database was used in the study. The findings indicate that the person and item statistics derived from the two measurement frameworks are quite comparable. The degree of invariance of item statistics across samples, usually considered as the theoretical superiority IRT models, also appeared to be similar for the two measurement frameworks.},
number = {3},
pages = {357},
volume = {58},
year = {1998},
date-added = {2010-01-17 23:33:29 +0100},
date-modified = {2010-01-17 23:34:30 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Fan-1998-Educational%20and%20Psychological%20Measurement_Item%20response%20theory.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4008},
rating = {0}
}

@article{McHorney:2003p12770,
author = {Colleen A McHorney},
journal = {Ann Intern Med},
title = {Ten recommendations for advancing patient-centered outcomes measurement for older persons},
abstract = {The past 50 years have seen great progress in the measurement of patient-based outcomes for older populations. Most of the measures now used were created under the umbrella of a set of assumptions and procedures known as classical test theory. A recent alternative for health status assessment is item response theory. Item response theory is superior to classical test theory because it can eliminate test dependency and achieve more precise measurement through computerized adaptive testing. Computerized adaptive testing reduces test administration times and allows varied and precise estimates of ability. Several key challenges must be met before computerized adaptive testing becomes a productive reality. I discuss these challenges for the health assessment of older persons in the form of 10 "Ds": things we need to deliberate, debate, decide, and do.},
affiliation = {Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN, USA. cmchorney@regenstrief.org},
number = {5 Pt 2},
pages = {403--9},
volume = {139},
year = {2003},
month = {Sep},
language = {eng},
keywords = {Patient-Centered Care, Aged, Health Status Indicators, Geriatric Assessment, Humans},
date-added = {2010-06-18 20:33:39 +0200},
date-modified = {2010-07-29 19:14:47 +0200},
pii = {139/5_Part_2/403},
pmid = {12965966},
local-url = {file://localhost/Users/chl/Dropbox/Papers/McHorney-2003-Ann%20Intern%20Med_Ten%20recommendations.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12770},
rating = {3}
}

@article{Emond:2007p3278,
author = {M J Emond},
journal = {UW Biostatistics Working Paper Series},
title = {Power Boosting in Genome-Wide Studies Via Methods for Multivariate Outcomes},
abstract = {Whole-genome studies are becoming a mainstay of biomedical research. Ex- amples include expression array experiments, comparative genomic hybridiza- tion analyses and large case-control studies for detecting polymorphism/disease associations. The tactic of applying a regression model to every locus to obtain test statistics is useful in such studies. However, this approach ignores potential correlation structure in the data that could be used to gain power, particularly when a Bonferroni correction is applied to adjust for multiple testing. In this article, we propose using regression techniques for misspecified multivariate out- comes to increase statistical power over independence-based modeling at each locus. Even when the outcome is not ordinarily regarded as multivariate, it is mathematically valid to view the outcome as a set of (identical) repeated measurements, one associated with each genetic locus. Rather than joint mod- eling of all observations, we propose to apply joint modeling to subgroups of data. The primary example in this article focuses on the use of generalized estimating equations (GEE) software to apply the method. We describe con- ditions under which the proposed method provides more power than applying independence-based methods. In simulation studies of plausible and interesting scenarios, power gains are as large as 35% compared to modeling the outcomes univariately with a one genetic covariate. In contrast, modeling the outcome as univariate with multiple genetic covariates performs very poorly when data are correlated. The proposed method is easy to apply, allows adjustment for confounding and can be combined with other methods for increasing power in multiple testing situations.},
number = {303},
year = {2007},
date-added = {2010-01-14 21:11:14 +0100},
date-modified = {2010-03-16 13:11:26 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Emond-2007-UW%20Biostatistics%20Working%20Paper%20Series_Power%20Boosting%20in%20Ge.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3278},
rating = {3}
}

@article{Waring:2008p2839,
author = {Stephen C Waring and Roger N Rosenberg},
journal = {Arch Neurol},
title = {Genome-wide association studies in Alzheimer disease},
abstract = {The genetics of Alzheimer disease (AD) to date support an age-dependent dichotomous model whereby earlier age of disease onset (< 60 years) is explained by 3 fully penetrant genes (APP [NCBI Entrez gene 351], PSEN1 [NCBI Entrez gene 5663], and PSEN2 [NCBI Entrez gene 5664]), whereas later age of disease onset (> or = 65 years) representing most cases of AD has yet to be explained by a purely genetic model. The APOE gene (NCBI Entrez gene 348) is the strongest genetic risk factor for later onset, although it is neither sufficient nor necessary to explain all occurrences of disease. Numerous putative genetic risk alleles and genetic variants have been reported. Although all have relevance to biological mechanisms that may be associated with AD pathogenesis, they await replication in large representative populations. Genome-wide association studies have emerged as an increasingly effective tool for identifying genetic contributions to complex diseases and represent the next frontier for furthering our understanding of the underlying etiologic, biological, and pathologic mechanisms associated with chronic complex disorders. There have already been success stories for diseases such as macular degeneration and diabetes mellitus. Whether this will hold true for a genetically complex and heterogeneous disease such as AD is not known, although early reports are encouraging. This review considers recent publications from studies that have successfully applied genome-wide association methods to investigations of AD by taking advantage of the currently available high-throughput arrays, bioinformatics, and software advances. The inherent strengths, limitations, and challenges associated with study design issues in the context of AD are presented herein.},
affiliation = {Department of Epidemiology, The University of Texas School of Public Health, 1200 Herman Pressler, RAS-E629, Houston, TX 77030, USA. stephen.c.waring@uth.tmc.edu},
number = {3},
pages = {329--34},
volume = {65},
year = {2008},
month = {Mar},
language = {eng},
keywords = {Age of Onset, Alzheimer Disease, Presenilin-1, Apolipoprotein E4, Genetic Predisposition to Disease, Humans, Genome, Presenilin-2, Amyloid beta-Protein Precursor},
date-added = {2010-01-13 14:54:02 +0100},
date-modified = {2010-01-13 14:54:02 +0100},
doi = {10.1001/archneur.65.3.329},
pii = {65/3/329},
pmid = {18332245},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Waring-2008-Arch%20Neurol_Genome-wide%20associat.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2839},
rating = {0}
}

@article{Gobbini:2006p4769,
author = {M Ida Gobbini and James V Haxby},
journal = {Brain Res Bull},
title = {Neural response to the visual familiarity of faces},
abstract = {Recognizing personally familiar faces is the result of a spatially distributed process that involves visual perceptual areas and areas that play a role in other cognitive and social functions, such as the anterior paracingulate cortex, the precuneus and the amygdala [M.I. Gobbini, E. Leibenluft, N. Santiago, J.V. Haxby, Social and emotional attachment in the neural representation of faces, Neuroimage 22 (2004) 1628-1635; M.I. Gobbini, J.V. Haxby, Neural systems for recognition of familiar faces, Neuropsychologia, in press; E. Leibenluft, M.I. Gobbini, T. Harrison, J.V. Haxby, Mothers' neural activation in response to pictures of their, and other, children, Biol. Psychiatry 56 (2004) 225-232]. In order to isolate the role of visual familiarity in face recognition, we used fMRI to measure the response to faces characterized by experimentally induced visual familiarity that carried no biographical information or emotional content. The fMRI results showed a stronger response in the precuneus to the visually familiar faces consistent with studies that implicate this region in the retrieval of information from long-term memory and imagery. Moreover, this finding supports the hypothesis of a key role for the precuneus in the acquisition of familiarity with faces [H. Kosaka, M. Omori, T. Iidaka, T. Murata, T. Shimoyama, T. Okada, N. Sadato, Y. Yonekura, Y. Wada, Neural substrates participating in acquisition of facial familiarity: an fMRI study, Neuroimage 20 (2003) 1734-1742]. By contrast, the visually familiar faces evoked a weaker response in the fusiform gyrus, which may reflect the development of a sparser encoding or a reduced attentional load when processing stimuli that are familiar. The visually familiar faces also evoked a weaker response in the amygdala, supporting the proposed role of this structure in mediating the guarded attitude when meeting someone new.},
affiliation = {Department of Psychology, Princeton University, Princeton, NJ 08540, USA. mgobbini@princeton.edu},
number = {1-3},
pages = {76--82},
volume = {71},
year = {2006},
month = {Dec},
language = {eng},
keywords = {Brain, Visual Cortex, Brain Mapping, Photic Stimulation, Male, Neurons, Magnetic Resonance Imaging, Functional Laterality, Parietal Lobe, Female, Nerve Net, Adult, Pattern Recognition: Visual, Reaction Time, Visual Pathways, Evoked Potentials: Visual, Humans, Temporal Lobe, Face, Memory},
date-added = {2010-02-01 20:19:53 +0100},
date-modified = {2010-02-01 20:19:53 +0100},
doi = {10.1016/j.brainresbull.2006.08.003},
pii = {S0361-9230(06)00246-2},
pmid = {17113931},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4769},
rating = {0}
}

@book{Harkness:2003,
author = {JA Harkness and FJR Van de Vijver and P (Eds Mohler},
journal = {Book},
title = {Cross-cultural survey methods},
year = {2003},
date-added = {2010-01-03 19:34:17 +0100},
date-modified = {2010-07-29 19:21:41 +0200},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p999},
rating = {0}
}

@article{MacCallum:2001p11746,
author = {R C MacCallum and K F Widaman and K J Preacher and S Hong},
journal = {Multivariate Behavioral Research},
title = {Sample Size in Factor Analysis: The Role of Model Error},
abstract = {This article examines effects of sample size and other design features on correspondence between factors obtained from analysis of sample data and those present in the population from which the samples were drawn. We extend earlier work on this question by examining these phenomena in the situation in which the common factor model does not hold exactly in the population. We present a theoretical framework for representing such lack of fit and examine its implications in the population and sample. Based on this approach we hypothesize that lack of fit of the model in the population will not, on the average, influence recovery of population factors in analysis of sample data, regardless of degree of model error and regardless of sample size. Rather, such recovery will be affected only by phenomena related to sampling error which have been studied previously. These hypotheses are investigated and verified in two sampling studies, one using artificial data and one using empirical data.},
number = {4},
pages = {611--637},
volume = {36},
year = {2001},
date-added = {2010-05-14 21:45:24 +0200},
date-modified = {2010-05-14 21:46:30 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/MacCallum-2001-Multivariate%20Behavioral%20Research_Sample%20Size%20in%20Facto.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11746},
rating = {4}
}

@article{Edelen:2007,
author = {Maria Orlando Edelen and Bryce B Reeve},
journal = {Qual Life Res},
title = {Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement.},
abstract = {BACKGROUND: Health outcomes researchers are increasingly applying Item Response Theory (IRT) methods to questionnaire development, evaluation, and refinement efforts. OBJECTIVE: To provide a brief overview of IRT, to review some of the critical issues associated with IRT applications, and to demonstrate the basic features of IRT with an example. METHODS: Example data come from 6,504 adolescent respondents in the National Longitudinal Study of Adolescent Health public use data set who completed to the 19-item Feelings Scale for depression. The sample was split into a development and validation sample. Scale items were calibrated in the development sample with the Graded Response Model and the results were used to construct a 10-item short form. The short form was evaluated in the validation sample by examining the correspondence between IRT scores from the short form and the original, and by comparing the proportion of respondents identified as depressed according to the original and short form observed cut scores. RESULTS: The 19 items varied in their discrimination (slope parameter range: .86-2.66), and item location parameters reflected a considerable range of depression (-.72-3.39). However, the item set is most discriminating at higher levels of depression. In the validation sample IRT scores generated from the short and long forms were correlated at .96 and the average difference in these scores was -.01. In addition, nearly 90% of the sample was classified identically as at risk or not at risk for depression using observed score cut points from the short and long forms. CONCLUSIONS: When used appropriately, IRT can be a powerful tool for questionnaire development, evaluation, and refinement, resulting in precise, valid, and relatively brief instruments that minimize response burden.},
affiliation = {Department of Psychiatry {\&} Human Behavior, Brown Medical School, Box G-BH, Providence, RI 02912, USA. edelen@brown.edu},
pages = {5--18},
volume = {16 Suppl 1},
year = {2007},
language = {eng},
date-added = {2010-01-03 19:38:22 +0100},
date-modified = {2010-07-29 19:48:28 +0200},
doi = {10.1007/s11136-007-9198-0},
pmid = {17375372},
URL = {http://dx.doi.org/10.1007/s11136-007-9198-0},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1155},
rating = {0}
}

@article{Lempitsky:2009p12876,
author = {V Lempitsky and M Verhoek and A Noble and A Blake},
journal = {FIMH},
title = {Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography},
abstract = {Automatic delineation of the myocardium in real-time 3D echocardiography may be used to aid the diagnosis of heart problems such as ischaemia, by enabling quantification of wall thickening and wall motion abnormalities. Distinguishing between myocardial and non- myocardial tissue is, however, difficult due to low signal-to-noise ratio as well as the efficiency constraints imposed on any algorithmic solution by the large size of the data under consideration. In this paper, we take a machine learning approach treating this problem as a two-class 3D patch classification task. We demonstrate that solving such task using random forests, which are the discriminative classifiers developed recently in the machine learning community, allows to obtain accurate delineations in a matter of seconds (on a CPU) or even in real-time (on a GPU) for the entire 3D volume.},
year = {2009},
date-added = {2010-06-24 12:58:50 +0200},
date-modified = {2010-06-24 12:59:37 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Lempitsky-2009-FIMH_Random%20Forest%20Classi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12876},
rating = {0}
}

@article{Vink:2010p5658,
author = {Jacqueline M Vink and Liselot M C Wolters and Michael C Neale and Dorret I Boomsma},
journal = {Addict Behav},
title = {Heritability of cannabis initiation in Dutch adult twins},
abstract = {Previous studies exploring the heritability of cannabis initiation have been carried out in the United States, Australia and United Kingdom. In the present study we assess cannabis initiation in The Netherlands, where the use of cannabis in small amounts is permitted. The sample included 3115 twins with a mean age of 27.4 years (SD 4.7) who are registered with the Netherlands Twin Register (NTR). Individual differences in cannabis initiation showed moderate genetic influences (44%). The remaining variance was explained by environmental influences shared by twins (31%) and by unique environmental factors (24%). Compared to studies from other countries, these results suggest that the relative importance of genetic and environmental factors is not different in a country with a more liberal cannabis policy.},
affiliation = {Dept. Biological Psychology, VU University, 1081 BT Amsterdam, The Netherlands. jm.vink@psy.vu.nl},
number = {2},
pages = {172--4},
volume = {35},
year = {2010},
month = {Feb},
language = {eng},
date-added = {2010-02-12 20:22:36 +0100},
date-modified = {2010-07-29 19:12:35 +0200},
doi = {10.1016/j.addbeh.2009.09.015},
pii = {S0306-4603(09)00244-5},
pmid = {19793625},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Vink-2010-Addict%20Behav_Heritability%20of%20cann.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5658},
rating = {0}
}

@article{Fagan:2007p2339,
author = {Ail{\'\i}s Fagan and Aed{\'\i}n C Culhane and Desmond G Higgins},
journal = {Proteomics},
title = {A multivariate analysis approach to the integration of proteomic and gene expression data},
abstract = {In order to understand even the simplest cellular processes, we need to integrate proteomic, gene expression and other biomolecular data. To date, most computational approaches aimed at integrating proteomics and gene expression data use direct gene/protein correlation measures. However, due to post-transcriptional and translational regulations, the correspondence between the expression of a gene and its protein is complicated. We apply a multivariate statistical method, co-inertia analysis (CIA), to visualise gene and proteomic expression data stemming from the same biological samples. Principal components analysis or correspondence analysis can be used for data exploration on single datasets. CIA is then used to explore the relationships between two or more datasets. We further explore the data by projecting gene ontology (GO) information onto these plots to describe the cellular processes in action. We apply these techniques to gene expression and protein abundance data from studies of the human malarial parasite life cycle and the NCI-60 cancer cell lines. In each case, we visualise gene expression, protein abundance and GO classes in the same low dimensional projections and identify GO classes that are likely to be of biological importance.},
affiliation = {Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, Ireland. Ailis.Fagan@ucd.ie},
number = {13},
pages = {2162--71},
volume = {7},
year = {2007},
month = {Jun},
language = {eng},
keywords = {Gene expression, Genomics, Life Cycle Stages, Animals, Humans, Computational Biology, Gene Expression Profiling, Multivariate Analysis, Databases: Genetic, Plasmodium falciparum, Cell Line: Tumor, Algorithms, Proteome, Databases: Protein, Proteomics, Oligonucleotide Array Sequence Analysis, Protein Array Analysis},
date-added = {2010-01-10 13:27:25 +0100},
date-modified = {2010-01-10 13:27:25 +0100},
doi = {10.1002/pmic.200600898},
pmid = {17549791},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Fagan-2007-Proteomics_A%20multivariate%20analy.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2339},
rating = {0}
}

@article{Dolan:2000p11419,
author = {C V Dolan},
journal = {Multivariate Behavioral Research},
title = {Investigating Spearman's Hypothesis by Means of Multi-Group Confirmatory Factor Analysis},
abstract = {Differences between blacks and whites on cognitive ability tests have been attributed to a fundamental difference between these groups in general intelligence (or g, as it is denoted). The hypothesized difference in g gives rise to Spearman's hypothesis, which states that the differences in the means of the tests are related to the tests' factor loadings on g. Jensen has investigated this hypothesis by correlating differences in means and tests' g loadings. The aim of the present article is to investigate B-W differences using multi-group confirmatory factor analysis. The advantages of multi-group confirmatory factor analysis over Jensen's test of Spearman's hypothesis are discussed.
A published data set is analyzed. Strict factorial invariance is tested and judged to be tenable. Various models are tested, which do and do not incorporate g. It is observed that it is difficult to distinguish between several hypotheses, including and excluding g, concerning group differences. The inability to distinguish between competing models using multi-group confirmatory factor analysis makes it difficult to draw clear conclusions about the exact nature of black-white differences in cognitive abilities. The implications of the results for Jensen's test of Spearman's hypothesis are discussed.},
number = {1},
pages = {21--50},
volume = {35},
year = {2000},
date-added = {2010-05-01 16:43:41 +0200},
date-modified = {2010-05-01 16:44:20 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Dolan-2000-Multivariate%20Behavioral%20Research_Investigating%20Spearm-2.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11419},
rating = {0}
}

@article{Evert:2005p2317,
author = {S Evert},
title = {The Statistics of Word Cooccurrences
Word Pairs and Collocations},
year = {2005},
date-added = {2010-01-10 12:35:09 +0100},
date-modified = {2010-01-10 12:35:30 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Evert-2005-_The%20Statistics%20of%20Wo.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2317},
rating = {0}
}

@article{Di:2006p3202,
author = {C Di and K Bandeen-Roche},
journal = {Johns Hopkins University, Dept. of Biostatistics Working Papers},
title = {Multilevel Latent Class Models with Dirichlet Mixing Distribution},
abstract = {Latent class analysis (LCA) and latent class regression (LCR) are widely used for modeling multivariate categorical outcomes in social sciences and biomedical studies. Standard analyses assume data of different respondents to be mutually independent, excluding application of the methods to familial and other designs in which participants are clustered. In this paper, we develop multilevel latent class model, in which subpopulation mixing probabilities are treated as random effects that vary among clusters according to a common Dirichlet distribution. We apply the Expectation-Maximization (EM) algorithm for model fitting by maxi- mum likelihood (ML). This approach works well, but is computationally intensive when either the number of classes or the cluster size is large. We propose a max- imum pairwise likelihood (MPL) approach via a modified EM algorithm for this case. We also show that a simple latent class analysis, combined with robust standard errors, provides another consistent, robust, but less efficient inferential procedure. Simulation studies suggest that the three methods work well in finite samples, and that the MPL estimates often enjoy comparable precision as the ML estimates. We apply our methods to the analysis of comorbid symptoms in the Obsessive Compulsive Disorder study. Our models' random effects structure has more straightforward interpretation than those of competing methods, thus should usefully augment tools available for latent class analysis of multilevel data.},
number = {174},
year = {2006},
date-added = {2010-01-14 21:01:06 +0100},
date-modified = {2010-01-14 21:02:19 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Di-2006-Johns%20Hopkins%20University%20Dept.%20of%20Biostatistics%20Working%20Papers_Multilevel%20Latent%20Cl.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3202},
rating = {0}
}

@article{Inza2002,
author = {I Inza and B Sierra and R Blanco and P Larranaga},
journal = {Journal of Intelligent and Fuzzy Systems},
title = {Gene selection by sequential search wrapper approaches in microarray cancer class prediction},
number = {1},
pages = {25--34},
volume = {12},
year = {2002},
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/p2538},
rating = {0}
}

@article{Jiang:2004p8028,
author = {Qi Jiang and Steven Snapinn and Boris Iglewicz},
journal = {Biometrics},
title = {Calculation of sample size in survival trials: the impact of informative noncompliance},
abstract = {Sample size calculations for survival trials typically include an adjustment to account for the expected rate of noncompliance, or discontinuation from study medication. Existing sample size methods assume that when patients discontinue, they do so independently of their risk of an endpoint; that is, that noncompliance is noninformative. However, this assumption is not always true, as we illustrate using results from a published clinical trial database. In this article, we introduce a modified version of the method proposed by Lakatos (1988, Biometrics 44, 229-241) that can be used to calculate sample size under informative noncompliance. This method is based on the concept of two subpopulations: one with high rates of endpoint and discontinuation and another with low rates. Using this new method, we show that failure to consider the impact of informative noncompliance can lead to a considerably underpowered study.},
affiliation = {Novartis Pharmaceuticals Corporation, East Hanover, New Jersey 07936-1080, USA. qi.jiang@pharma.novartis.com},
number = {3},
pages = {800--6},
volume = {60},
year = {2004},
month = {Sep},
language = {eng},
keywords = {Models: Statistical, Survival Analysis, Humans, Clinical Trials as Topic, Patient Compliance, Sample Size, Ventricular Dysfunction: Left, Enalapril, Biometry},
date-added = {2010-03-20 19:43:35 +0100},
date-modified = {2010-03-20 19:43:35 +0100},
doi = {10.1111/j.0006-341X.2004.00231.x},
pii = {BIOM231},
pmid = {15339304},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8028},
rating = {0}
}

@article{Presson:2008p11474,
author = {Angela P Presson and Eric M Sobel and Jeanette C Papp and Charlyn J Suarez and Toni Whistler and Mangalathu S Rajeevan and Suzanne D Vernon and Steve Horvath},
journal = {BMC systems biology},
title = {Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome},
abstract = {BACKGROUND: Systems biologic approaches such as Weighted Gene Co-expression Network Analysis (WGCNA) can effectively integrate gene expression and trait data to identify pathways and candidate biomarkers. Here we show that the additional inclusion of genetic marker data allows one to characterize network relationships as causal or reactive in a chronic fatigue syndrome (CFS) data set. RESULTS: We combine WGCNA with genetic marker data to identify a disease-related pathway and its causal drivers, an analysis which we refer to as "Integrated WGCNA" or IWGCNA. Specifically, we present the following IWGCNA approach: 1) construct a co-expression network, 2) identify trait-related modules within the network, 3) use a trait-related genetic marker to prioritize genes within the module, 4) apply an integrated gene screening strategy to identify candidate genes and 5) carry out causality testing to verify and/or prioritize results. By applying this strategy to a CFS data set consisting of microarray, SNP and clinical trait data, we identify a module of 299 highly correlated genes that is associated with CFS severity. Our integrated gene screening strategy results in 20 candidate genes. We show that our approach yields biologically interesting genes that function in the same pathway and are causal drivers for their parent module. We use a separate data set to replicate findings and use Ingenuity Pathways Analysis software to functionally annotate the candidate gene pathways. CONCLUSION: We show how WGCNA can be combined with genetic marker data to identify disease-related pathways and the causal drivers within them. The systems genetics approach described here can easily be used to generate testable genetic hypotheses in other complex disease studies.},
affiliation = {Biostatistics, University of California, Los Angeles, CA, USA. apresson@ucla.edu},
pages = {95},
volume = {2},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Male, Genetic Markers, Systems Biology, Software, Female, Fatigue Syndrome: Chronic, Computational Biology, Genetic Testing, Gene Expression Regulation, Gene Regulatory Networks, Humans, Polymorphism: Single Nucleotide},
date-added = {2010-05-01 17:24:52 +0200},
date-modified = {2010-05-01 17:24:52 +0200},
doi = {10.1186/1752-0509-2-95},
pii = {1752-0509-2-95},
pmid = {18986552},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Presson-2008-BMC%20systems%20biology_Integrated%20weighted.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11474},
rating = {0}
}

@article{Reise:1991p2704,
author = {S P Reise and A M Due},
journal = {Applied Psychological Measurement},
title = {The Influence of Test Characteristics on the Detection of Aberrant Response Patterns},
number = {3},
pages = {217--226},
volume = {15},
year = {1991},
date-added = {2010-01-13 10:22:40 +0100},
date-modified = {2010-07-29 19:16:52 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Reise-1991-Applied%20Psychological%20Measurement_The%20Influence%20of%20Tes.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2704},
rating = {0}
}

@article{Ringdal:1999p7360,
author = {K Ringdal and G I Ringdal and S Kaasa and K Bjordal and F Wisl{\o}ff and S Sundstr{\o}m and M J Hjermstad},
journal = {Qual Life Res},
title = {Assessing the consistency of psychometric properties of the HRQoL scales within the EORTC QLQ-C30 across populations by means of the Mokken Scaling Model},
abstract = {This paper demonstrates how the Mokken Scaling Model and other statistical tools may be useful in assessing the consistency of psychometric properties of health-related quality of life (HRQoL) scales across various populations. The main focus is the psychometric performance of the scales proposed for the EORTC QLQ-C30 in seven patient groups totalling more than 2,000 cancer patients. All scales performed satisfactorily in the total sample with the exception of the role functioning and cognitive functioning scales, which failed in terms of reliability and item discriminant validity. The descriptive statistics for the scales show that several of them, particularly those that build upon only two items, have discrimination problems at the extremes, visible in the high percentages at the maximum or the minimum observed values. The scalability analysis in the subsamples showed that the essential assumption in the Mokken Scaling Model of equal item step order does not hold for the cognitive functioning, emotional functioning and physical functioning scales. We conclude that the Mokken Scaling Model is well suited to the purpose of examining the generalizability of HRQoL scales across subpopulations although a global statistical test of the fit of the measurement model is not available.},
affiliation = {Department of Sociology and Political Science, Norwegian University of Science and Technology, Dragvoll, Norway.},
number = {1-2},
pages = {25--43},
volume = {8},
year = {1999},
month = {Jan},
language = {eng},
keywords = {Models: Statistical, Quality of Life, Questionnaires, Mental Health, Neoplasms, Cognition, Female, Norway, Humans, Health Status, Activities of Daily Living, Discriminant Analysis, Reproducibility of Results, Male, Statistics: Nonparametric, Health Surveys, Aged, Middle Aged, Psychometrics},
date-added = {2010-03-10 20:29:32 +0100},
date-modified = {2010-07-29 19:48:30 +0200},
pmid = {10457736},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7360},
rating = {4}
}

@article{Rounds:1996p11657,
author = {J Rounds and T J Tracey},
journal = {Journal of Counseling Psychology},
title = {Cross-Cultural Structural Equivalence of RIASEC Models and Measures},
abstract = {A structural meta-analysis was conducted to evaluate the fit of J. L. Holland's (1985a) circular order model, I. Gati's (1982) three-group partition, and an alternative three-class partition on vocational interest correlation matrices drawn from the cross-cultural literature. The randomization test of hypothesized order relations (L. Hubert {\&} P. Arabie, 1987) was used to evaluate the model fit for 20 U.S. ethnic matrices, 76 international matrices (representing 18 countries), and a U.S. benchmark sample of 73 matrices. The cross-culture structural equivalence of Holland's circular order model was not supported. Both Gati's partition and the alternative partition fit the U.S. benchmark and international samples equally well. None of the 3 models were found to be an adequate representation of the structure of vocational interests for U.S. ethnic samples.},
number = {3},
pages = {310--329},
volume = {43},
year = {1996},
date-added = {2010-05-11 22:53:49 +0200},
date-modified = {2010-05-11 22:54:38 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Rounds-1996-Journal%20of%20Counseling%20Psychology_Cross-Cultural%20Struc.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11657},
rating = {4}
}

@article{Jimenez:2009p536,
author = {Rafael Jimenez and Elena Gervilla and Albert Sese and Juan Jose Montano and Berta Cajal and Alfonso Palmer},
journal = {Methodology},
title = {Dimensionality Reduction in Data Mining Using Artificial Neural Networks},
abstract = {The use of classic dimension reduction techniques can be considered customary practice within the context of data mining (DM). Nevertheless, although artificial neural networks (ANNs) are one of the most important DM techniques, specific ANN architectures for dimensionality reduction, such as the principal components analysis ANN (PCA-ANN) and the linear auto-associative ANN (LA-ANN), are used on far fewer occasions. In this study, categorical principal component analysis (CATPCA) and the two ANN procedures are studied and compared searching for uniqueness in an applied context relative to personality variables and drug consumption. A sample of 7,030 adolescents completed a personality test made up of 20 dichotomous items with a hypothesized four-factor latent model. Results point out that both ANN factor solutions converge to those obtained using CATPCA. Nevertheless, possible drawbacks of the ANN techniques lie in their relatively complex application, as well as in the need to use visual graphic analysis as a support for interpreting the factorized solutions.},
affiliation = {Universitat de les Illes Balears, Palma de Mallorca, Spain},
number = {1},
pages = {26--34},
volume = {5},
year = {2009},
keywords = {dimensionality reduction, linear auto-associative artificial neuralnetworks, Oja's rule, data mining, categorical principal component analysis},
date-added = {2010-01-03 13:53:56 +0100},
date-modified = {2010-07-29 20:04:05 +0200},
doi = {10.1027/1614-2241.5.1.26},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Jimenez-2009-Methodology_Dimensionality%20Reduc.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p536},
rating = {0}
}

@article{RabeHesketh:2004p6294,
author = {S Rabe-Hesketh and A Skrondal and A Pickles},
journal = {Psychometrika},
title = {Generalized Multilevel Structural Equation Modeling},
abstract = {A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine fea- tures of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. The response model generalizes GLMMs to incorporate factor structures in addition to random intercepts and coefficients. As in GLMMs, the data can have an arbitrary number of levels and can be highly unbalanced with different numbers of lower-level units in the higher-level units and missing data. A wide range of response processes can be modeled in- cluding ordered and unordered categorical responses, counts, and responses of mixed types. The structural model is similar to the structural part of a SEM except that it may include latent and observed variables varying at different levels. For example, unit-level latent variables (factors or random coefficients) can be regressed on cluster-level latent variables. Special cases of this framework are explored and data from the British Social Attitudes Survey are used for illustration. Maximum likelihood estimation and empirical Bayes latent score prediction within the GLLAMM framework can be performed using adaptive quadra- ture in gllamm, a freely available program running in Stata.},
number = {2},
pages = {167--190},
volume = {69},
year = {2004},
date-added = {2010-02-20 20:05:55 +0100},
date-modified = {2010-02-20 20:06:54 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Rabe-Hesketh-2004-Psychometrika_Generalized%20Multilev.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6294},
rating = {0}
}

@article{Bondell:2010p6905,
author = {Howard D Bondell and Arun Krishna and Sujit K Ghosh},
journal = {Biometrics},
title = {Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models},
abstract = {Summary. It is of great practical interest to simultaneously identify the important predictors that correspond to both the fixed and random effects components in a linear mixed-effects (LME) model. Typical approaches perform selection separately on each of the fixed and random effect components. However, changing the structure of one set of effects can lead to different choices of variables for the other set of effects. We propose simultaneous selection of the fixed and random factors in an LME model using a modified Cholesky decomposition. Our method is based on a penalized joint log likelihood with an adaptive penalty for the selection and estimation of both the fixed and random effects. It performs model selection by allowing fixed effects or standard deviations of random effects to be exactly zero. A constrained expectation-maximization algorithm is then used to obtain the final estimates. It is further shown that the proposed penalized estimator enjoys the Oracle property, in that, asymptotically it performs as well as if the true model was known beforehand. We demonstrate the performance of our method based on a simulation study and a real data example.},
affiliation = {Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695-8203, U.S.A.},
pages = {},
year = {2010},
month = {Feb},
language = {ENG},
date-added = {2010-03-06 12:21:48 +0100},
date-modified = {2010-03-06 12:21:48 +0100},
doi = {10.1111/j.1541-0420.2010.01391.x},
pii = {BIOM1391},
pmid = {20163404},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Bondell-2010-Biometrics_Joint%20Variable%20Selec.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6905},
rating = {0}
}

@article{Mallinckrodt:1997p7712,
author = {C H Mallinckrodt and B L Golden and A Reverter},
journal = {J Anim Sci},
title = {Approximate confidence intervals for heritability from method R estimates},
abstract = {Method R estimates of heritability (h2) and associated confidence intervals (CI) were obtained from simulated data using a single trait, direct effects, full animal model, with 50% subsampling. Five hundred data sets were simulated for each of five levels of h2 (.10, .20, .30, .40, and .50) and two types of pedigree structure (random pedigree structure [N = 2,000] that varied over simulations, or the pedigree structure from a real data set [N = 2,644] that was constant for all simulations). The first 10, 20, and all 50 h2 estimates were used to obtain 80, 90, 95, and 99% CI for each data set. The variance of h2 estimates within data sets approximated the sampling variance of the h2 estimates. The Box-Cox transformation was used to normalize the distribution of estimates from each data set. Confidence intervals were computed on the transformed scale as CI = mu +/- (T x sigma), where mu and sigma = the mean and SD of the N transformed h2 estimates, respectively, and T = the critical value from the T distribution for a 1-alpha CI, with df = N-1. Upper and lower CI bounds were converted back to the original scale by reversing the transformation. The percentages of CI containing the true h2 value, pooled across all levels of h2, types of pedigree, and number of estimates used to obtain CI, for 80, 90, 95, and 99% CI were 81.14, 90.96, 95.27, and 98.76%, respectively. These results suggested that Method R h2 estimates can be used to obtain reliable CI.},
affiliation = {Department of Statistics, Colorado State University, Fort Collins 80523, USA.},
number = {8},
pages = {2041--6},
volume = {75},
year = {1997},
month = {Aug},
language = {eng},
keywords = {Time Factors, Animals, Analysis of Variance, Animals: Domestic, Models: Genetic, Female, Confidence Intervals, Male, Genetics, Phenotype},
date-added = {2010-03-15 23:51:32 +0100},
date-modified = {2010-03-15 23:51:35 +0100},
pmid = {9263049},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Mallinckrodt-1997-J%20Anim%20Sci_Approximate%20confiden.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7712},
rating = {4}
}

@article{Pascual:2007p7795,
author = {J C Pascual and J Soler and M Baiget and A Cort{\'e}s and A Menoyo and J Barrachina and M Ropero and M Gom{\`a} and E Alvarez and V Perez},
journal = {Actas Esp Psiquiatr},
title = {Association between the serotonin transporter gene and personality traits in borderline personality disorder patients evaluated with Zuckerman-Zuhlman Personality Questionnaire (ZKPQ)},
abstract = {INTRODUCTION: The serotoninergic system seems to be implicated in characteristic symptoms of borderline personality disorder (BPD) such as affective instability, impulsivity or suicide. Some studies suggest an association between serotonin transporter gene (5-HTT) polymorphisms and some BPD symptoms. Short allele (S) of the 5-HTTLPR polymorphism in the promoter region has been shown to be associated with impulsivity, aggressive behavior, anxiety and neuroticism. Of the variable number of tandem repeat (VNTR) polymorphism in intron 2, BPD patients showed higher frequencies of the allele with the 10 repeats. The aim of this study was to determine the association between 5- HTTLPR and VNTR polymorphism of 5-HTT and personality traits in borderline personality disorder. METHOD: A total of 65 BPD patients diagnosed by means of semi-structured interviews SCID-II and DIB-R were included. Two common polymorphisms of 5-HTT were genotyped: the 5-HTTLPR in the promoter region and VNTR in intron 2. Personality traits were assessed by the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ). RESULTS: Patients with L allele (L/S or L/L) in the 5-HTTLPR polymorphism showed lower scores on the subscale of liking parties and friends. Patients with the allele with 10 repeat of the VNTR polymorphism, showed lower scores in impulsivity, sensation seeking and in the subscale liking of parties and friends. CONCLUSIONS: The results suggest a significant association between the 5-HTT gene and some personality traits in BPD. This gene may play a role in the etiology of borderline personality disorder.},
affiliation = {Psychiatry Department, Hospital de la Santa Creu i Sant Pau, Universitat Aut{\`o}noma de Barcelona , Barcelona, Spain.},
number = {6},
pages = {382--6},
volume = {35},
year = {2007},
month = {Jan},
language = {eng},
keywords = {Humans, Borderline Personality Disorder, Adolescent, Questionnaires, Female, Serotonin Plasma Membrane Transport Proteins, Middle Aged, Gene Expression, Male, Adult},
date-added = {2010-03-17 20:59:58 +0100},
date-modified = {2010-03-17 21:00:01 +0100},
pii = {711101084},
pmid = {18004675},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7795},
rating = {4}
}

@article{LeCao:2010p11434,
author = {Kim-Anh L{\^e} Cao and Emmanuelle Meugnier and Geoffrey J McLachlan},
journal = {Bioinformatics},
title = {Integrative mixture of experts to combine clinical factors and gene markers},
abstract = {MOTIVATION: Microarrays are being increasingly used in cancer research to better characterize and classify tumors by selecting marker genes. However, as very few of these genes have been validated as predictive biomarkers so far, it is mostly conventional clinical and pathological factors that are being used as prognostic indicators of clinical course. Combining clinical data with gene expression data may add valuable information, but it is a challenging task due to their categorical versus continuous characteristics. We have further developed the mixture of experts (ME) methodology, a promising approach to tackle complex non-linear problems. Several variants are proposed in integrative ME as well as the inclusion of various gene selection methods to select a hybrid signature. RESULTS: We show on three cancer studies that prediction accuracy can be improved when combining both types of variables. Furthermore, the selected genes were found to be of high relevance and can be considered as potential biomarkers for the prognostic selection of cancer therapy. AVAILABILITY: Integrative ME is implemented in the R package integrativeME (http://cran.r-project.org/).},
affiliation = {ARC Centre of Excellence in Bioinformatics, Institute for Molecular Bioscience, University of Queensland, St Lucia, QLD, Australia. k.lecao@uq.edu.au},
number = {9},
pages = {1192--8},
volume = {26},
year = {2010},
month = {May},
language = {eng},
date-added = {2010-05-01 17:16:48 +0200},
date-modified = {2010-05-01 17:16:53 +0200},
doi = {10.1093/bioinformatics/btq107},
pii = {btq107},
pmid = {20223834},
local-url = {file://localhost/Users/chl/Dropbox/Papers/L%C3%AA%20Cao-2010-Bioinformatics_Integrative%20mixture.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11434},
rating = {4}
}

@article{Li:1992p3642,
author = {W Li},
journal = {IEEE TRANSACTIONS ON INFORMATION THEORY},
title = {Random Texts Exhibit Zipf's-Law-Like Word Frequency Distribution},
abstract = {It is shown that the distribution of word frequencies for randomly generated texts is very similar to Zipf's law observed in natural languages such as the English. The facts that the frequency of occurrence of a word is almost an inverse power law function of its rank and the exponent of this inverse power law is very close to 1 are largely due to the transformation from the word's length to its rank, which stretches an exponential function to a power law function.},
number = {6},
pages = {1842--1845},
volume = {38},
year = {1992},
date-added = {2010-01-16 19:46:19 +0100},
date-modified = {2010-01-16 19:46:56 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Li-1992-IEEE%20TRANSACTIONS%20ON%20INFORMATION%20THEORY_Random%20Texts%20Exhibit.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3642},
rating = {0}
}

@article{Cai:2007p11867,
author = {D Cai and X He and J Han},
title = {SRDA: An Efficient Algorithm for Large Scale Discriminant Analysis},
abstract = {Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection functions of LDA are commonly obtained by maximizing the between class covariance and simultaneously minimizing the within class covariance. It has been widely used in many fields of information processing, such as machine learning, data mining, information retrieval, and pattern recognition. However, the computation of LDA involves dense matrices eigen- decomposition which can be computationally expensive both in time and memory. Specifically, LDA has O(mnt + t3) time complexity and requires O(mn + mt + nt) memory, where m is the number of samples, n is the number of features and t = min(m,n). When both m and n are large, it is infeasible to apply LDA. In this paper, we propose a novel algorithm for discriminant analysis, called Spectral Regression Discriminant Analysis (SRDA). By using spectral graph analysis, SRDA casts discriminant analysis into a regression framework which facilitates both efficient computation and the use of regularization techniques. Specifically, SRDA only needs to solve a set of regularized least squares problems and there is no eigenvector computation involved, which is a huge save of both time and memory. Our theoretical analysis shows that SRDA can be computed with O(ms) time and O(ms) memory, where s(≤ n) is the average number of non-zero features in each sample. Extensive experimental results on four real world data sets demonstrate the effectiveness and efficiency of our algorithm.},
number = {UIUCDCS-R-2007-2857},
year = {2007},
date-added = {2010-05-23 11:49:56 +0200},
date-modified = {2010-05-23 11:50:44 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Cai-2007-_SRDA%20An%20Efficient%20A.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11867},
rating = {4}
}

@article{Trippe:2003p13757,
author = {D M Trippe and R J Harvey},
title = {Item Response Theory Analysis of the IPIP Big-Five Scales},
abstract = {We used Samejima (1969) graded-response item response theory model to evaluate the Five
Factor Model scales of the public-domain International Personality Item Pool (IPIP; Goldberg, 1999). Test information and standard error functions showed that the IPIP scales provided relatively good measurement precision across most of the scale ranges.},
year = {2003},
date-added = {2010-07-24 12:49:12 +0200},
date-modified = {2010-07-24 12:50:03 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Trippe-2003-_Item%20Response%20Theory.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13757},
rating = {5}
}

@article{Scholkopf:2003p3317,
author = {Bernhard Scholkopf and Sebastian Mika and Chris J. C Burges and Klaus-robert M Uller and Gunnar R Atsch and Er J Smola},
title = {Input Space Versus Feature Space in Kernel-Based Methods},
abstract = {This paper collects some ideas targeted at advancingour understanding of the feature spaces associated with supportvector (SV) kernel functions. We first discuss the geometry offeature space. In particular, we review what is known about theshape of the image of input space under the feature space map,and how this influences the capacity of SV methods. Followingthis, we describe how the metric governing the intrinsic geometryof the mapped surface can be computed in terms of the kernel,using the example of the class of inhomogeneous polynomialkernels, which are often used in SV pattern recognition. We thendiscuss the connection between feature space and input space bydealing with the question of how one can, given some vector infeature space, find a preimage (exact or approximate) in inputspace. We describe algorithms to tackle this issue, and show theirutility in two applications of kernel methods. First, we use it toreduce the computational complexity of SV decision functions;second, we combine it with the Kernel PCA algorithm, therebyconstructing a nonlinear statistical denoising technique which isshown to perform well on real-world data.},
year = {2003},
month = {Oct},
language = {eng},
date-added = {2010-01-15 12:10:48 +0100},
date-modified = {2010-01-15 12:10:48 +0100},
pmid = {659854},
URL = {http://citeseer.ist.psu.edu/659854},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3317},
rating = {0}
}

@article{Green:1998p13740,
author = {S Green and R Buchbinder and R Glazier and A Forbes},
journal = {BMJ},
title = {Systematic review of randomised controlled trials of interventions for painful shoulder: selection criteria, outcome assessment, and efficacy},
abstract = {OBJECTIVE: To review the efficacy of common interventions for shoulder pain. DESIGN: All randomised controlled trials of non-steroidal anti-inflammatory drugs, intra-articular and subacromial glucocorticosteroid injection, oral glucocorticosteroid treatment, physiotherapy, manipulation under anaesthesia, hydrodilatation, and surgery for shoulder pain that were identified by computerised and hand searches of the literature and had a blinded assessment of outcome were included. MAIN OUTCOME MEASURES: Methodological quality (score out of 40), selection criteria, and outcome measures. Effect sizes were calculated and combined in a pooled analysis if study population, end point, and intervention were comparable. RESULTS: Thirty one trials met inclusion criteria. Mean methodological quality score was 16.8 (9.5-22). Selection criteria varied widely, even for the same diagnostic label. There was no uniformity in the outcome measures used, and their measurement properties were rarely reported. Effect sizes for individual trials were small (range -1.4 to 3.0). The results of only three studies investigating "rotator cuff tendinitis" could be pooled. The only positive finding was that subacromial steroid injection is better than placebo in improving the range of abduction (weighted difference between means 35 degrees (95% confidence interval 14 to 55)). CONCLUSIONS: There is little evidence to support or refute the efficacy of common interventions for shoulder pain. As well as the need for further well designed clinical trials, more research is needed to establish a uniform method of defining shoulder disorders and developing outcome measures which are valid, reliable, and responsive in affected people.},
affiliation = {Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.},
number = {7128},
pages = {354--60},
volume = {316},
year = {1998},
month = {Jan},
language = {eng},
keywords = {Treatment Outcome, Patient Selection, Anti-Inflammatory Agents: Non-Steroidal, Humans, Pain, Randomized Controlled Trials as Topic, Joint Diseases, Shoulder Joint},
date-added = {2010-07-24 12:31:29 +0200},
date-modified = {2010-07-24 12:31:29 +0200},
pmid = {9487172},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13740},
rating = {0}
}

@article{Medland:2005p7236,
author = {Sarah E Medland},
journal = {Twin research and human genetics : the official journal of the International Society for Twin Studies},
title = {Parameterization of sex-limited autosomal linkage analysis for Mx},
abstract = {Incorporation of sex-limitation (genotype-sex interaction) effects into a model of quantitative trait loci ( QTL) analysis has been shown to increase the power to detect linkage when analyzing traits in which sex limitation is present (Towne et al., 1997). The present note provides a parameterization of the nonscalar sex-limitation ACE model incorporating autosomal sex-limited QTL effects for use with the Mx matrix algebra program (Neale et al., 2002). An example script designed for use with extended sibships that takes advantage of the versatile treatment of covariates within Mx is included.},
affiliation = {Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Brisbane, Australia. Sarah.Medland@qimr.edu.au},
number = {6},
pages = {569--73},
volume = {8},
year = {2005},
month = {Dec},
language = {eng},
keywords = {Quantitative Trait Loci, Sex Factors, Models: Genetic, Quantitative Trait: Heritable, Humans},
date-added = {2010-03-08 19:35:12 +0100},
date-modified = {2010-03-08 19:35:12 +0100},
doi = {10.1375/183242705774860213},
pmid = {16354498},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Medland-2005-Twin%20research%20and%20human%20genetics%20the%20official%20journal%20of%20the%20International%20Society%20for%20Twin%20Studies_Parameterization%20of.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7236},
rating = {0}
}

@article{Zhou:2008p6260,
author = {X H Zhou and C M Li and Z Yang},
journal = {Philos Transact A Math Phys Eng Sci},
title = {Improving interval estimation of binomial proportions},
abstract = {In this paper, we propose one new confidence interval for the binomial proportion; our interval is based on the Edgeworth expansion of a logit transformation of the sample proportion. We provide theoretical justification for the proposed interval and also compare the finite-sample performance of the proposed interval with the three best existing intervals-the Wilson interval, the Agresti-Coull interval and the Jeffreys interval-in terms of their coverage probabilities and expected lengths. We illustrate the proposed method in two real clinical studies.},
affiliation = {VA Puget Sound Health Care System, Seattle, WA 98108, USA. azhou@u.washington.edu},
number = {1874},
pages = {2405--18},
volume = {366},
year = {2008},
month = {Jul},
language = {eng},
keywords = {Confidence Intervals, Fluid Therapy, Vasospasm: Intracranial, Biometry, Models: Statistical, Mood Disorders, Humans},
date-added = {2010-02-19 21:50:43 +0100},
date-modified = {2010-02-19 21:50:43 +0100},
doi = {10.1098/rsta.2008.0037},
pii = {R5392614X325G22K},
pmid = {18407898},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6260},
rating = {0}
}

@article{Juni:2001,
author = {P Juni and Douglas G Altman and M Egger},
journal = {British Medical Journal},
title = {Assessing the quality of controlled clinical trials},
abstract = {The quality of controlled trials is of obvious relevance to systematic reviews. If the "raw material" is flawed then the conclusions of systematic reviews cannot be trusted. Many reviewers formally assess the quality of primary trials by following the recommendations of the Cochrane Collaboration and other experts. 1 2 However, the methodology for both the assessment of quality and its incorporation into systematic reviews and meta-analysis are a matter of ongoing debate.3-5 In this article we discuss the concept of study quality and the methods used to assess quality.},
pages = {42--46},
volume = {323},
year = {2001},
date-added = {2010-01-03 19:36:10 +0100},
date-modified = {2010-07-29 20:20:56 +0200},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1031},
rating = {0}
}

@article{Konig:2008p14300,
author = {I R K{\"o}nig and J D Malley and S Pajevic and C Weimar and H-C Diener and A Ziegler},
journal = {International journal of data mining and bioinformatics},
title = {Patient-centered yes/no prognosis using learning machines},
abstract = {In the last 15 years several machine learning approaches have been developed for classification and regression. In an intuitive manner we introduce the main ideas of classification and regression trees, support vector machines, bagging, boosting and random forests. We discuss differences in the use of machine learning in the biomedical community and the computer sciences. We propose methods for comparing machines on a sound statistical basis. Data from the German Stroke Study Collaboration is used for illustration. We compare the results from learning machines to those obtained by a published logistic regression and discuss similarities and differences.},
affiliation = {Institut f{\"u}r Medizinische Biometrie und Statistik, Universit{\"a}t zu L{\"u}beck, Ratzeburger Allee 160, 23538 L{\"u}beck, Germany.},
number = {4},
pages = {289--341},
volume = {2},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Computational Biology, Stroke, Humans, Diagnosis: Computer-Assisted, Prognosis, Artificial Intelligence, Algorithms, Regression Analysis, Reproducibility of Results, Models: Statistical, Calibration},
date-added = {2010-08-24 14:20:10 +0200},
date-modified = {2010-08-24 14:20:15 +0200},
pmid = {19216340},
local-url = {file://localhost/Users/chl/Dropbox/Papers/K%C3%B6nig-2008-International%20journal%20of%20data%20mining%20and%20bioinformatics_Patient-centered%20yes.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14300},
rating = {3}
}

@book{Kline:2004,
author = {R Kline},
journal = {Book},
title = {Beyond significance testing: Reforming data analysis methods in behavioral research},
year = {2004},
date-added = {2010-01-10 11:33:21 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2226},
rating = {0}
}

@article{Zhang:2006p12454,
author = {Xuegong Zhang and Xin Lu and Qian Shi and Xiu-Qin Xu and Hon-Chiu E Leung and Lyndsay N Harris and James D Iglehart and Alexander Miron and Jun S Liu and Wing H Wong},
journal = {BMC Bioinformatics},
title = {Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data},
abstract = {BACKGROUND: Like microarray-based investigations, high-throughput proteomics techniques require machine learning algorithms to identify biomarkers that are informative for biological classification problems. Feature selection and classification algorithms need to be robust to noise and outliers in the data. RESULTS: We developed a recursive support vector machine (R-SVM) algorithm to select important genes/biomarkers for the classification of noisy data. We compared its performance to a similar, state-of-the-art method (SVM recursive feature elimination or SVM-RFE), paying special attention to the ability of recovering the true informative genes/biomarkers and the robustness to outliers in the data. Simulation experiments show that a 5%- approximately 20% improvement over SVM-RFE can be achieved regard to these properties. The SVM-based methods are also compared with a conventional univariate method and their respective strengths and weaknesses are discussed. R-SVM was applied to two sets of SELDI-TOF-MS proteomics data, one from a human breast cancer study and the other from a study on rat liver cirrhosis. Important biomarkers found by the algorithm were validated by follow-up biological experiments. CONCLUSION: The proposed R-SVM method is suitable for analyzing noisy high-throughput proteomics and microarray data and it outperforms SVM-RFE in the robustness to noise and in the ability to recover informative features. The multivariate SVM-based method outperforms the univariate method in the classification performance, but univariate methods can reveal more of the differentially expressed features especially when there are correlations between the features.},
affiliation = {Bioinformatics Div, TNLIST, Dept of Automation, Tsinghua University, Beijing, 100084, China. xgzhang@tsinghua.edu.cn},
pages = {197},
volume = {7},
year = {2006},
month = {Jan},
language = {eng},
keywords = {Biological Markers, Artificial Intelligence, Mass Spectrometry, Reproducibility of Results, Gene Expression Profiling, Algorithms, Rats, Cluster Analysis, Sensitivity and Specificity, Proteome, Oligonucleotide Array Sequence Analysis, Humans, Pattern Recognition: Automated, Animals},
date-added = {2010-06-15 17:33:01 +0200},
date-modified = {2010-06-15 17:33:13 +0200},
doi = {10.1186/1471-2105-7-197},
pii = {1471-2105-7-197},
pmid = {16606446},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Zhang-2006-BMC%20Bioinformatics_Recursive%20SVM%20featur.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12454},
rating = {3}
}

@article{Green:2008p7218,
author = {Adam E Green and Marcus R Munaf{\`o} and Colin G DeYoung and John A Fossella and Jin Fan and Jeremy R Gray},
journal = {Nat Rev Neurosci},
title = {Using genetic data in cognitive neuroscience: from growing pains to genuine insights},
abstract = {Research that combines genetic and cognitive neuroscience data aims to elucidate the mechanisms that underlie human behaviour and experience by way of 'intermediate phenotypes': variations in brain function. Using neuroimaging and other methods, this approach is poised to make the transition from health-focused investigations to inquiries into cognitive, affective and social functions, including ones that do not readily lend themselves to animal models. The growing pains of this emerging field are evident, yet there are also reasons for a measured optimism.},
affiliation = {Department of Psychology, Yale University, New Haven, Connecticut 06520-8205, USA.},
number = {9},
pages = {710--20},
volume = {9},
year = {2008},
month = {Sep},
language = {eng},
keywords = {Humans, Neural Pathways, Behavior, Animals, Cognition, Brain, Phenotype, Molecular Biology, Neurosciences, Diagnostic Imaging},
date-added = {2010-03-08 19:30:20 +0100},
date-modified = {2010-03-08 19:30:21 +0100},
doi = {10.1038/nrn2461},
pmid = {19143051},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Green-2008-Nat%20Rev%20Neurosci_Using%20genetic%20data%20i.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7218},
rating = {0}
}

@article{Kintner:2008p6599,
author = {Eileen K Kintner},
journal = {Health Qual Life Outcomes},
title = {Development and preliminary evaluation of the participation in life activities scale for children and adolescents with asthma: an instrument development study},
abstract = {BACKGROUND: Being able to do things other kids do is the desire of school-age children and adolescents with asthma. In a phenomenology study, adolescents identified participation in life activities as the outcome variable and primary motivator for behavioral changes in coming to accept asthma as a chronic condition. In preparation for testing an acceptance model for older school-age children and early adolescents diagnosed with asthma, the Participation in Life Activities Scale was developed. The purposes of this paper are to describe development, and report on face and content validity of the scale designed to measure one aspect of quality of life defined as level of unrestricted involvement in chosen pursuits. METHODS: Items generated for the instrument evolved from statements and themes extracted from qualitative interviews. Face and content validity were evaluated by eight lay reviewers and 10 expert reviewers. Rate of accurate completion was computed using a convenience, cross-section sample consisting of 313 children and adolescents with asthma, ages 9-15 years, drawn from three studies. Preliminary cross-group comparisons of scores were assessed using t-tests and analysis of variance. RESULTS: Face and content validity were determined to be highly acceptable and relevant, respectively. Completion rate across all three studies was 97%. Although cross-group comparisons revealed no significant differences in overall participation scores based on age, race or residence groupings (p > .05), significant difference were indicated between males and females (p = .02), as well as the highest and lowest socioeconomic groups (p = .002). CONCLUSION: Assessing content validity was the first step in evaluating properties of this newly developed instrument. Once face and content validity were established, psychometric evaluation related to internal consistency reliability and construct validity using factor analysis procedures was begun. Results will be reported elsewhere.},
affiliation = {Michigan State University College of Nursing, East Lansing, MI, USA. kintner@msu.edu},
pages = {37},
volume = {6},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Questionnaires, Female, Activities of Daily Living, Severity of Illness Index, Adolescent, Asthma, Male, Reproducibility of Results, Humans, Quality of Life, Child, Cross-Sectional Studies},
date-added = {2010-03-03 19:40:02 +0100},
date-modified = {2010-03-03 19:40:02 +0100},
doi = {10.1186/1477-7525-6-37},
pii = {1477-7525-6-37},
pmid = {18507828},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kintner-2008-Health%20and%20Quality%20of%20Life%20Outcomes_Development%20and%20prel.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6599},
rating = {0}
}

@article{Tierney:2005p14006,
author = {L Tierney},
journal = {Journal of Statistical Software},
title = {Some Notes on the Past and Future of Lisp-Stat},
abstract = {Lisp-Stat was originally developed as a framework for experimenting with dynamic graphics in statistics. To support this use, it evolved into a platform for more general statistical computing. The choice of the Lisp language as the basis of the system was in part coincidence and in part a very deliberate decision. This paper describes the background behind the choice of Lisp, as well as the advantages and disadvantages of this choice. The paper then discusses some lessons that can be drawn from experience with Lisp-Stat and with the R language to guide future development of Lisp-Stat, R, and similar systems.},
number = {9},
volume = {13},
year = {2005},
date-added = {2010-08-04 09:30:21 +0200},
date-modified = {2010-08-04 09:31:09 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Tierney-2005-Journal%20of%20Statistical%20Software_Some%20Notes%20on%20the%20Pa.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14006},
rating = {0}
}

@article{Meijer:2001p2699,
author = {R R Meijer and K Sijtsma},
journal = {Applied Psychological Measurement},
title = {Methodology Review: Evaluating Person Fit},
abstract = {Person-fit methods based on classical test the- ory and item response theory (IRT), and methods investigating particular types of response behavior on tests, are examined. Similarities and differences among person-fit methods and their advantages and disadvantages are discussed. Sound person-fit methods have been derived for the Rasch model. For other IRT models, the empirical and theoretical distributions differ for most person-fit statistics when used with short and moderate length tests. The detection rate of person-fit statistics depends on the type of misfitting item-score patterns, test length, and trait levels. The usefulness of person-fit statistics for improving measurement depends on the application.},
number = {2},
pages = {107--135},
volume = {25},
year = {2001},
date-added = {2010-01-13 10:18:37 +0100},
date-modified = {2010-07-29 19:16:53 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Meijer-2001-Applied%20Psychological%20Measurement_Methodology%20Review.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2699},
rating = {0}
}

@article{Bassili:1996,
author = {JN Bassili and BS Scott},
journal = {Public Opinion Quarterly},
title = {Response latency as a signal to question problems in survey research},
pages = {390--399},
volume = {60},
year = {1996},
date-added = {2010-01-03 19:34:18 +0100},
date-modified = {2010-07-29 19:47:49 +0200},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p981},
rating = {0}
}

@article{Violato:2007p5487,
author = {Claudio Violato and Kent G Hecker},
journal = {Teach Learn Med},
title = {How to use structural equation modeling in medical education research: a brief guide},
abstract = {BACKGROUND: Structural equationmodeling (SEM) is a family of statistical techniques used for the analysis of multivariate data to measure latent variables and their interrelationships. SEM has potential to advance theory and research in medical education. PURPOSE: The purpose of this article is to introduce SEM to medical education researchers and provide procedural information for applying SEM. METHODS: We outline the basic tenets of SEM, principles of model creation, identification, estimation, and model fit to data, and the use of SEM in medical education research. RESULTS: Although it is a powerful statistical research tool, SEM has had only limited use in medical education research. We explicate a five-step procedure for applying SEM to research problems and summarize an example of SEM to test a hypothetical model. CONCLUSIONS: Notwithstanding some pitfalls, SEM does provide promise for testing complex, integrated theoretical models and advance research in medical education.},
affiliation = {Medical Education Research Unit, University of Calgary, Calgary, Alberta, Canada. violato@ucalgary.ca},
number = {4},
pages = {362--71},
volume = {19},
year = {2007},
month = {Oct},
language = {eng},
keywords = {Educational Status, Educational Measurement, Models: Educational, Multivariate Analysis, Research, Education: Medical, Humans, Models: Statistical, Factor Analysis: Statistical, Teaching},
date-added = {2010-02-12 14:44:09 +0100},
date-modified = {2010-02-12 14:44:09 +0100},
doi = {10.1080/10401330701542685},
pmid = {17935466},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5487},
rating = {0}
}

@article{Bechger:2004p14007,
author = {Timo M Bechger and Huub H F M Verstralen and Norman D Verhelst and Gunter Maris},
journal = {Psychometrika},
title = {Equivalent LLTM: A rejoinder},
number = {2},
pages = {317--318},
volume = {69},
year = {2004},
date-added = {2010-08-04 09:31:21 +0200},
date-modified = {2010-08-04 09:32:49 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Bechger-2004-Psychometrika_Equivalent%20LLTM%20A%20r.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14007},
rating = {0}
}

@article{Lakatos:1992p8068,
author = {E Lakatos and K K Lan},
journal = {Stat Med},
title = {A comparison of sample size methods for the logrank statistic},
abstract = {Several methods are available for sample size calculation for clinical trials when survival curves are to be compared using the logrank statistic. We discuss advantages and disadvantages of some of these methods, and present simulation results under exponential, proportional hazards and non-proportional hazard situations.},
affiliation = {Biostatistics Research Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20892.},
number = {2},
pages = {179--91},
volume = {11},
year = {1992},
month = {Jan},
language = {eng},
keywords = {Research Design, Models: Theoretical, Computer Simulation, Statistics as Topic, Clinical Trials as Topic, Survival Analysis, Humans},
date-added = {2010-03-20 19:45:31 +0100},
date-modified = {2010-03-20 19:45:31 +0100},
pmid = {1579757},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Lakatos-1992-Stat%20Med_A%20comparison%20of%20samp.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8068},
rating = {0}
}

@article{Esposito:2003p4608,
author = {R Esposito and L Saitta},
title = {Monte Carlo Theory as an Explanation of Bagging and Boosting},
abstract = {In this paper we propose the framework of Monte Carlo algorithms as a useful one to ana- lyze ensemble learning. In particular, this framework allows one to guess when bagging will be useful, explains why increasing the mar- gin improves performances, and suggests a new way of performing ensemble learning and error estimation.},
year = {2003},
date-added = {2010-01-30 15:07:08 +0100},
date-modified = {2010-01-30 15:07:38 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Esposito-2003-_Monte%20Carlo%20Theory%20a.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4608},
rating = {0}
}

@article{Smith:1988p6314,
author = {T M F Smith and R A Sugden},
journal = {International Statistical Review},
title = {Sampling and Assignment Mechanisms in Experiments, Surveys and Observational Studies, Correspondent Paper},
abstract = {A generalframeworkisgivenforexaminingtheroleofmechanismsfortreatmentassignmentand unit selection in experiments,surveysand observationalstudies. Conditionsare establishedunder which these mechanismscan be ignored for model-basedinference. Examples are presented to show how inferencecan incorporatethe mechanismswhen the conditionsdo not hold.},
number = {2},
pages = {165--180},
volume = {56},
year = {1988},
date-added = {2010-02-20 21:09:31 +0100},
date-modified = {2010-02-20 21:10:26 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Smith-1988-International%20Statistical%20Review_Sampling%20and%20Assignm.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6314},
rating = {0}
}

@article{Slykerman:2005p7944,
author = {R F Slykerman and J M D Thompson and J E Pryor and D M O Becroft and E Robinson and P M Clark and C J Wild and E A Mitchell},
journal = {Early Hum Dev},
title = {Maternal stress, social support and preschool children's intelligence},
abstract = {BACKGROUND: Despite some research suggesting maternal stress may be associated with cognitive impairment in preschool children, there has been little direct investigation of the association between maternal stress, social support and children's intelligence. AIM: To determine whether maternal stress and social support during pregnancy and during the child's early years of life are associated with the intelligence test performance of preschool children. STUDY DESIGN: Five hundred and fifty European mothers and children enrolled in the Auckland Birthweight Collaborative Study at birth were interviewed when the child was 3 1/2 years of age. SUBJECTS: All children were full term gestation and approximately half the sample were small for gestational age at birth (SGA = birthweight < or = 10th percentile). OUTCOME MEASURE: The cognitive ability of children aged 3 1/2 years was assessed using the Stanford Binet Intelligence Scale 4th Edition. RESULTS: In the total sample, maternal stress and lack of social support during pregnancy were significantly associated with lower intelligence test scores of children. In the group of SGA children, maternal stress post pregnancy was significantly associated with lower intelligence test scores in children. There is evidence that for some children the presence of good social support for mothers may reduce the negative effects of maternal stress on children's cognitive development. CONCLUSION: Maternal stress and lack of social support appear to be associated with lower intelligence test scores of preschool children. Social support may attenuate some of the negative effects of maternal stress on intelligence in children born small for gestational age.},
affiliation = {Department of Paediatrics, University of Auckland, Private Bag 92019, Auckland, New Zealand. rebecca.slykerman@ihug.co.nz},
number = {10},
pages = {815--21},
volume = {81},
year = {2005},
month = {Oct},
language = {eng},
keywords = {Social Support, Child: Preschool, Child Development, Mothers, Cognition Disorders, New Zealand, Humans, Mother-Child Relations, Stress: Psychological, Questionnaires, Intelligence Tests},
date-added = {2010-03-20 19:27:58 +0100},
date-modified = {2010-07-29 19:25:33 +0200},
doi = {10.1016/j.earlhumdev.2005.05.005},
pii = {S0378-3782(05)00116-7},
pmid = {16019165},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7944},
rating = {0}
}

@misc{Pornel:2004,
author = {Jonny B Pornel and Leonardo S Sotaridona and Amolfo L Vallejo},
journal = {Miscellaneous},
title = {A new statistic to detect misfitting score vector},
year = {2004},
month = {Apr},
date-added = {2010-01-10 11:33:23 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Pornel-2004-Miscellaneous_A%20new%20statistic%20to%20d.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2097},
rating = {0}
}

@article{Borsboom:2003p5497,
author = {Denny Borsboom and Gideon J Mellenbergh and Jaap van Heerden},
journal = {Psychological Review},
title = {The theoretical status of latent variables},
abstract = {This article examines the theoretical status of latent variables as used in modern test theory models. First, it is argued that a consistent interpretation of such models requires a realist ontology for latent variables. Second, the relation between latent variables and their indicators is discussed. It is maintained that this relation can be interpreted as a causal one but that in measurement models for interindividual differences the relation does not apply to the level of the individual person. To substantiate intraindividual causal conclusions, one must explicitly represent individual level processes in the measurement model. Several research strategies that may be useful in this respect are discussed, and a typology of constructs is proposed on the basis of this analysis. The need to link individual processes to latent variable models for interindividual differences is emphasized.},
affiliation = {Department of Psychology, Faculty of Social and Behavioral Sciences, University of Amsterdam, The Netherlands. dborsboom@fmg.uva.nl},
number = {2},
pages = {203--19},
volume = {110},
year = {2003},
month = {Apr},
language = {eng},
keywords = {Psychology, Psychological Theory, Semantics, Humans},
date-added = {2010-02-12 14:44:46 +0100},
date-modified = {2010-02-12 14:44:47 +0100},
pmid = {12747522},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Borsboom-2003-Psychological%20Review_The%20theoretical%20stat.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5497},
rating = {0}
}

@article{Jackson:2004p12129,
author = {D A Jackson and Y Chen},
journal = {Environmetrics},
title = {Robust principal component analysis and outlier detection with ecological data},
abstract = {Ecological studies frequently involve large numbers of variables and observations, and these are often subject to various errors. If some data are not representative of the study population, they tend to bias the interpretation and conclusion of an ecological study. Because of the multivariate nature of ecological data, it is very difficult to identify atypical observations using approaches such as univariate or bivariate plots. This difficulty calls for the application of robust statistical methods in identifying atypical observations. Our study provides a comparison of a standard method, based on the Mahalanobis distance, used in multivariate approaches to a robust method based on the minimum volume ellipsoid as a means of determining whether data sets contain outliers or not. We evaluate both methods using simulations varying conditions of the data, and show that the minimum volume ellipsoid approach is superior in detecting outliers where present. We show that, as the sample size parameter, h, used in the robust approach increases in value, there is a decrease in the accuracy and precision of the associated estimate of the number of outliers present, in particular as the number of outliers increases. Conversely, where no outliers are present, large values for the parameter provide the most accurate results. In addition to the simulation results, we demonstrate the use of the robust principal component analysis with a data set of lake-water chemistry variables to illustrate the additional insight available. We suggest that ecologists consider that their data may contain atypical points. Following checks associated with normality, bivariate linearity and other traditional aspects, we advocate that ecologists examine their data sets using robust multivariate methods. Points identified as being atypical should be carefully evaluated based on background information to determine their suitability for inclusion in further multivariate analyses and whether additional factors explain their unusual characteristics.},
pages = {129--139},
volume = {15},
year = {2004},
date-added = {2010-05-30 10:14:11 +0200},
date-modified = {2010-05-30 10:15:06 +0200},
doi = {10.1002/env.628},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Jackson-2004-Environmetrics_Robust%20principal%20com.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12129},
rating = {0}
}

@article{Hill:2010p10033,
author = {Teresa Hill and Loveleen Bansi and Caroline Sabin and Andrew Phillips and David Dunn and Jane Anderson and Philippa Easterbrook and Martin Fisher and Brian Gazzard and Richard Gilson and Margaret Johnson and Clifford Leen and Chloe Orkin and Achim Schwenk and John Walsh and Alan Winston and Abdel Babiker and Valerie Delpech and on behalf of the UK Collaborative HIV Cohort (UK CHIC) Study Group},
journal = {Journal of Clinical Epidemiology},
title = {Data linkage reduces loss to follow-up in an observational HIV cohort study},
abstract = {OBJECTIVE: To ascertain the degree of loss to follow-up in a cohort and to identify its predictors. STUDY DESIGN AND SETTING: Human immunodeficiency virus (HIV)-infected individuals without CD4 cell counts for a year or more were defined as potentially lost to follow-up (LFU). Multivariable Poisson regression models identified the risk factors for potential LFU. Multivariable logistic regression models compared demographic and clinical characteristics of those who returned for care and those permanently LFU. RESULTS: Of 16,595 patients under follow-up, 43.6% were potentially LFU at least once. Of these, 39.8% were considered permanently LFU and 60.2% were seen again after 1 year. Of 9,766 episodes when patients were potentially LFU, 59% resulted in the patient returning for care at the same clinic or at a different clinic. Compared with those permanently LFU, patients returning were more likely to have started highly active antiretroviral therapy, to have higher CD4 counts and viral loads, to be younger, and to have had more CD4 tests before LFU. They were less likely to have had a previous episode of potential LFU. CONCLUSIONS: A substantial proportion of patients in the UK Collaborative HIV Cohort study are potentially LFU. Data linkage identifies patients returning for care at different centers. Recognition of factors associated with LFU may help reduce this important source of bias in observational databases.},
affiliation = {Research Department of Infection and Population Health, UCL Medical School, London, UK.},
pages = {},
year = {2010},
month = {Mar},
language = {ENG},
date-added = {2010-03-31 20:03:02 +0200},
date-modified = {2010-03-31 20:03:02 +0200},
doi = {10.1016/j.jclinepi.2009.12.007},
pii = {S0895-4356(10)00017-X},
pmid = {20347263},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hill-2010-Journal%20of%20Clinical%20Epidemiology_Data%20linkage%20reduces-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10033},
rating = {0}
}

@misc{Wilson:1995,
author = {M Wilson and R J Adams},
journal = {Miscellaneous},
title = {Issues in complex sampling involving latent variables},
year = {1995},
date-added = {2010-01-10 11:33:17 +0100},
date-modified = {2010-07-29 20:16:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Wilson-1995-Miscellaneous_Issues%20in%20complex%20sa.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1918},
rating = {0}
}

@article{Ramachandran:2004p6512,
author = {Sohini Ramachandran and Noah A Rosenberg and Lev A Zhivotovsky and Marcus W Feldman},
journal = {Hum Genomics},
title = {Robustness of the inference of human population structure: a comparison of X-chromosomal and autosomal microsatellites},
abstract = {In this paper, data on 20 X-chromosomal microsatellite polymorphisms from the HGDP-CEPH cell line panel are used to infer human population structure. Inferences from these data are compared to those obtained from autosomal microsatellites. Some of the major features of the structure seen with 377 autosomal markers are generally visible with the X-linked markers, although the latter provide less resolution. Differences between the X-chromosomal and autosomal results can be explained without requiring major differences in demographic parameters between males and females. The dependence of the partitioning on the number of individuals sampled from each region and on the number of markers used is discussed.},
affiliation = {Department of Biological Sciences, Stanford University, Stanford, CA 94305-5020, USA.},
number = {2},
pages = {87--97},
volume = {1},
year = {2004},
month = {Jan},
language = {eng},
keywords = {Microsatellite Repeats, Genetics: Population, Homozygote, Heterozygote, Humans, Analysis of Variance, Genetic Variation, Genome: Human, Evolution, Female, Genetic Markers, Male, Cell Line, Gene Frequency, Chromosomes: Human: X, Polymorphism: Genetic},
date-added = {2010-02-23 08:37:32 +0100},
date-modified = {2010-02-23 08:37:32 +0100},
pmid = {15601537},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6512},
rating = {0}
}

@article{Harrell:2009p9166,
author = {Zaje A T Harrell and Jennifer D Slane and Kelly L Klump},
journal = {Addict Behav},
title = {Predictors of alcohol problems in college women: the role of depressive symptoms, disordered eating, and family history of alcoholism},
abstract = {Disordered eating and depressive symptoms are established correlates of alcohol use in college women. Family history of alcoholism (FHA) is also related to problematic alcohol use, but there have been limited studies of how it relates to other established cofactors in women. Predictive associations between disordered eating (i.e., overall levels as well as binge eating), depressive symptoms, and alcohol problems were examined in a sample of 295 female twins. The direct and moderating effects of FHA on the relationships between alcohol problems, disordered eating, and depressive symptoms were investigated. Using hierarchical linear modeling depressive symptoms, but not disordered eating or FHA, significantly predicted alcohol problems. However, there was a significant interaction between disordered eating and FHA; disordered eating was associated with alcohol problems in those with a positive FHA. The implications for high-risk subgroups of college women are discussed.},
affiliation = {Department of Psychology, Michigan State University, Department of Psychology, Psychology Building 134B, East Lansing, MI 48824-1116, United States. harrellz@msu.edu},
number = {3},
pages = {252--7},
volume = {34},
year = {2009},
month = {Mar},
language = {eng},
keywords = {Questionnaires, Young Adult, Depressive Disorder, Alcohol Drinking, Adolescent, Child of Impaired Parents, Eating Disorders, Students, Risk Assessment, Female, Humans, Alcoholism},
date-added = {2010-03-22 13:37:11 +0100},
date-modified = {2010-07-29 19:12:35 +0200},
doi = {10.1016/j.addbeh.2008.10.019},
pii = {S0306-4603(08)00301-8},
pmid = {19027241},
URL = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VC9-4TTMNHY-3&_user=2432700&_coverDate=03%252F31%252F2009&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000057263&_version=1&_urlVersion=0&_userid=2432700&md5=06e35d9f600ed27e86ac41acf292dbe5},
local-url = {file://localhost/Users/chl/D

license: MIT

license_type: permissive

branch_name: refs/heads/master

extension: bib