text:
224},
read = {Yes},
rating = {0}
}

@article{Reise:2009p13758,
author = {S P Reise},
journal = {Austrian Journal of Statistics},
title = {The Emergence of Item Response Theory Models and the Patient Reported Outcomes Measurement Information Systems},
abstract = {Item response theory (IRT) models emerged to solve practical testing problems in large-scale cognitive achievement and aptitude assess- ment. Within the last decade, an explosion of IRT applications have oc- curred in the non-cognitive domain. In this report, I highlight the develop- ment, implementation, and results of a single project: Patient Reported Out- comes Measurement Information Systems (PROMIS). The PROMIS project reflects the state-of-the-art application of IRT in the non-cognitive domain, and has produced important advancements in patient reported outcomes mea- surement. However, the project also illustrates challenges that confront re- searchers wishing to apply IRT to non-cognitive constructs. These challenges are: a) selecting a population to set the metric for interpretation of item parameters, b) working with non-normal quasi-continuous latent traits, and c) working with narrow-bandwidth constructs that potentially have a limited pool of potential indicators. Differences between cognitive and non-cognitive measurement contexts are discussed and directions for future research sug- gested.},
number = {4},
pages = {211--220},
volume = {38},
year = {2009},
date-added = {2010-07-24 12:50:50 +0200},
date-modified = {2010-07-24 12:51:41 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Reise-2009-Austrian%20Journal%20of%20Statistics_The%20Emergence%20of%20Ite.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13758},
rating = {0}
}

@article{Jacobson:1984,
author = {NS Jacobson and WC Follette and D Revenstorf},
journal = {Behavior Therapy},
title = {Psychotherapy outcome research: Methods for reporting variability and evaluating clinical significance},
pages = {336--352},
volume = {15},
year = {1984},
date-added = {2010-01-03 19:35:29 +0100},
date-modified = {2010-01-03 19:35:30 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1018},
rating = {0}
}

@article{Reeve:2010p3643,
author = {B B Reeve},
title = {An Introduction to Modern Measurement Theory},
date-added = {2010-01-16 19:47:39 +0100},
date-modified = {2010-01-16 19:48:03 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Reeve--_An%20Introduction%20to%20M.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3643},
rating = {0}
}

@article{Visser:2003p12969,
author = {J Visser},
journal = {Human Movement Science},
title = {Developmental coordination disorder: a review of research on subtypes and comorbidities},
abstract = {The interest in Developmental Coordination Disorder (DCD) has grown considerably over the last decade. Nevertheless, its etiology and prognosis are still poorly understood. The idea is growing that DCD may not be a uniform disorder. This review summarizes research on DCD, with a particular focus on subtype and comorbidity studies. The main message of the paper is that, in order to understand the etiology and prognosis of DCD, we need to have a better understanding of its nature. This requires an awareness of the existence of subtypes and comorbidities. Current theories on comorbidity phenomena are discussed in terms of their possible merit for the development of the field. Particular attention is given to the Automatization Deficit Hypothesis, a theory based on research on dyslexia.},
affiliation = {Department of Kinesiology, Pennsylvania State University, 267-J Recreation Building, University Park, PA 16802, USA. jxv17@psu.edu},
number = {4-5},
pages = {479--93},
volume = {22},
year = {2003},
month = {Nov},
language = {eng},
keywords = {Learning Disorders, Comorbidity, Prognosis, Psychomotor Disorders, Risk Factors, Child, Humans, Motor Skills Disorders, Dyslexia, Attention Deficit Disorder with Hyperactivity, Disability Evaluation},
date-added = {2010-06-25 22:18:19 +0200},
date-modified = {2010-06-25 22:18:19 +0200},
pii = {S0167945703000678},
pmid = {14624829},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Visser-2003-Human%20Movement%20Science_Developmental%20coordi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12969},
rating = {0}
}

@article{Liu:2009p1566,
author = {Jingyu Liu and Godfrey Pearlson and Andreas Windemuth and Gualberto Ruano and Nora I Perrone-Bizzozero and Vince Calhoun},
journal = {Hum Brain Mapp},
title = {Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA},
abstract = {There is current interest in understanding genetic influences on both healthy and disordered brain function. We assessed brain function with functional magnetic resonance imaging (fMRI) data collected during an auditory oddball task--detecting an infrequent sound within a series of frequent sounds. Then, task-related imaging findings were utilized as potential intermediate phenotypes (endophenotypes) to investigate genomic factors derived from a single nucleotide polymorphism (SNP) array. Our target is the linkage of these genomic factors to normal/abnormal brain functionality. We explored parallel independent component analysis (paraICA) as a new method for analyzing multimodal data. The method was aimed to identify simultaneously independent components of each modality and the relationships between them. When 43 healthy controls and 20 schizophrenia patients, all Caucasian, were studied, we found a correlation of 0.38 between one fMRI component and one SNP component. This fMRI component consisted mainly of parietal lobe activations. The relevant SNP component was contributed to significantly by 10 SNPs located in genes, including those coding for the nicotinic alpha-7 cholinergic receptor, aromatic amino acid decarboxylase, disrupted in schizophrenia 1, among others. Both fMRI and SNP components showed significant differences in loading parameters between the schizophrenia and control groups (P = 0.0006 for the fMRI component; P = 0.001 for the SNP component). In summary, we constructed a framework to identify interactions between brain functional and genetic information; our findings provide a proof-of-concept that genomic SNP factors can be investigated by using endophenotypic imaging findings in a multivariate format.},
affiliation = {The Mind Research Network, Albuquerque, New Mexico, USA. jliu@themindinstitute.org},
number = {1},
pages = {241--55},
volume = {30},
year = {2009},
month = {Jan},
language = {eng},
keywords = {Schizophrenia, Parietal Lobe, Brain, Female, Middle Aged, Phenotype, Mutation, Young Adult, Genetic Testing, Predictive Value of Tests, Adult, Genotype, Aromatic-L-Amino-Acid Decarboxylases, Brain Mapping, DNA Mutational Analysis, Magnetic Resonance Imaging, Genetic Predisposition to Disease, Polymorphism: Single Nucleotide, Humans, Statistics as Topic, Receptors: Nicotinic, Male},
date-added = {2010-01-07 16:52:52 +0100},
date-modified = {2010-01-07 16:52:52 +0100},
doi = {10.1002/hbm.20508},
pmid = {18072279},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Liu-2009-Hum%20Brain%20Mapp_Combining%20fMRI%20and%20S.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1566},
read = {Yes},
rating = {0}
}

@article{Plomin:2010p12463,
author = {Robert Plomin and Claire M A Haworth and Oliver S P Davis},
journal = {Behav Genet},
title = {Genetics of learning abilities and disabilities: recent developments from the UK and possible directions for research in China. 2008},
number = {3},
pages = {297--305},
volume = {40},
year = {2010},
month = {May},
language = {eng},
date-added = {2010-06-15 17:37:35 +0200},
date-modified = {2010-07-29 20:09:06 +0200},
doi = {10.1007/s10519-010-9355-z},
pmid = {20358396},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Plomin-2010-Behav%20Genet_Genetics%20of%20learning.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12463},
rating = {0}
}

@article{Schrodt:2006p2330,
author = {P A Schrodt},
journal = {Symposium on Rethinking Social Inquiry},
title = {Beyond the Linear Frequentist Orthodoxy},
year = {2006},
date-added = {2010-01-10 13:13:17 +0100},
date-modified = {2010-01-10 13:13:54 +0100},
doi = {10.1093/pan/mpj013},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Schrodt-2006-Symposium%20on%20Rethinking%20Social%20Inquiry_Beyond%20the%20Linear%20Fr.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2330},
rating = {0}
}

@article{Andrews:2001p2475,
author = {G Andrews and S Henderson and W Hall},
journal = {Br J Psychiatry},
title = {Prevalence, comorbidity, disability and service utilisation. Overview of the Australian National Mental Health Survey},
abstract = {BACKGROUND: Health planning should be based on data about prevalence, disability and services used. AIMS: To determine the prevalence of ICD-10 disorders and associated comorbidity, disability and service utilisation. METHOD: We surveyed a national probability sample of Australian households using the Composite International Diagnostic Interview and other measures. RESULTS: The sample size was 10 641 adults, response rate 78%. Close to 23% reported at least one disorder in the past 12 months and 14% a current disorder. Comorbidity was associated with disability and service use. Only 35% of people with a mental disorder in the 12 months prior to the survey had consulted for a mental problem during that year, and most had seen a general practitioner. Only half of those who were disabled or had multiple comorbidity had consulted and of those who had not, more than half said they did not need treatment. CONCLUSIONS: The high rate of not consulting among those with disability and comorbidity is an important public health problem. As Australia has a universal health insurance scheme, the barriers to effective care must be patient knowledge and physician competence.},
affiliation = {World Health Organization Collaborating Centre for Mental Health and School of Psychiatry, University of New South Wales at St Vincent's Hospital, Sydney, Australia. gavina@crufad.unsw.edu.au},
pages = {145--53},
volume = {178},
year = {2001},
month = {Feb},
language = {eng},
keywords = {Adolescent, Health Services Needs and Demand, Mental Disorders, Mental Health Services, Substance-Related Disorders, Patient Acceptance of Health Care, Humans, Adult, Mentally Disabled Persons, Comorbidity, Aged, Health Surveys, Female, Prevalence, Middle Aged, Severity of Illness Index, Australia, Male, Family Practice},
date-added = {2010-01-12 13:30:11 +0100},
date-modified = {2010-01-12 13:30:11 +0100},
pmid = {11157427},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Andrews-2001-Br%20J%20Psychiatry_Prevalence%20comorbid.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2475},
rating = {0}
}

@article{Benson:2000,
author = {K Benson and AJ Hartz},
journal = {N Engl J Med},
title = {A comparison of observational studies and randomised controlled trials},
abstract = {Background For many years it has been claimed that observational studies find stronger treatment effects than randomized, controlled trials. We compared the results of observational studies with those of randomized, controlled trials. Methods We searched the Abridged Index Medicus and Cochrane data bases to identify observational studies reported between 1985 and 1998 that compared two or more treatments or interventions for the same condition. We then searched the Medline and Cochrane data bases to identify all the randomized, controlled trials and observational studies comparing the same treatments for these conditions. For each treatment, the magnitudes of the effects in the various observational studies were combined by the Mantel--Haenszel or weighted analysis-of-variance procedure and then compared with the combined magnitude of the effects in the randomized, controlled trials that evaluated the same treatment. Results There were 136 reports about 19 diverse treatments, such as calcium-channel--blocker therapy for coronary artery disease, appendectomy, and interventions for subfertility. In most cases, the estimates of the treatment effects from observational studies and randomized, controlled trials were similar. In only 2 of the 19 analyses of treatment effects did the combined magnitude of the effect in observational studies lie outside the 95 percent confidence interval for the combined magnitude in the randomized, controlled trials. Conclusions We found little evidence that estimates of treatment effects in observational studies reported after 1984 are either consistently larger than or qualitatively different from those obtained in randomized, controlled trials.},
pages = {1878--1886},
volume = {342},
year = {2000},
date-added = {2010-01-03 19:36:10 +0100},
date-modified = {2010-07-29 19:53:14 +0200},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1052},
rating = {0}
}

@article{Nelson:2010p5060,
author = {Kerrie P Nelson and Don Edwards},
journal = {Stat Med},
title = {Improving the reliability of diagnostic tests in population-based agreement studies},
abstract = {Many large-scale studies have recently been carried out to assess the reliability of diagnostic procedures, such as mammography for the detection of breast cancer. The large numbers of raters and subjects involved raise new challenges in how to measure agreement in these types of studies. An important motivator of these studies is the identification of factors that contribute to the often wide discrepancies observed between raters' classifications, such as a rater's experience, in order to improve the reliability of the diagnostic process of interest. Incorporating covariate information into the agreement model is a key component in addressing these questions. Few agreement models are currently available that jointly model larger numbers of raters and subjects and incorporate covariate information. In this paper, we extend a recently developed population-based model and measure of agreement for binary ratings to incorporate covariate information using the class of generalized linear mixed models with a probit link function. Important information on factors related to the subjects and raters can be included as fixed and/or random effects in the model. We demonstrate how agreement can be assessed between subgroups of the raters and/or subjects, for example, comparing agreement between experienced and less experienced raters. Simulation studies are carried out to test the performance of the proposed models and measures of agreement. Application to a large-scale breast cancer study is presented. Copyright (c) 2010 John Wiley {\&} Sons, Ltd.},
affiliation = {Massachusetts General Hospital and Harvard Medical School, Biostatistics Center, 50 Staniford Street, Suite 560, Boston, MA 02114, U.S.A.},
pages = {},
year = {2010},
month = {Feb},
language = {ENG},
date-added = {2010-02-05 20:05:25 +0100},
date-modified = {2010-02-05 20:05:25 +0100},
doi = {10.1002/sim.3819},
pmid = {20128018},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Nelson-2010-Stat%20Med_Improving%20the%20reliab.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5060},
rating = {0}
}

@article{Westfall:2010p10013,
author = {Peter H Westfall and James F Troendle and Gene Pennello},
journal = {Biometrics},
title = {Multiple McNemar Tests},
abstract = {Summary. Methods for performing multiple tests of paired proportions are described. A broadly applicable method using McNemar's exact test and the exact distributions of all test statistics is developed; the method controls the familywise error rate in the strong sense under minimal assumptions. A closed form (not simulation-based) algorithm for carrying out the method is provided. A bootstrap alternative is developed to account for correlation structures. Operating characteristics of these and other methods are evaluated via a simulation study. Applications to multiple comparisons of predictive models for disease classification and to postmarket surveillance of adverse events are given.},
affiliation = {Area of ISQS, Texas Tech University, Lubbock, Texas 79409-2101, U.S.A.},
pages = {},
year = {2010},
month = {Mar},
language = {ENG},
date-added = {2010-03-31 20:00:30 +0200},
date-modified = {2010-03-31 20:00:30 +0200},
doi = {10.1111/j.1541-0420.2010.01408.x},
pii = {BIOM1408},
pmid = {20345498},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Westfall-2010-Biometrics_Multiple%20McNemar%20Tes.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10013},
rating = {0}
}

@article{Verplancke:2008p12455,
author = {T Verplancke and S Van Looy and D Benoit and S Vansteelandt and P Depuydt and F De Turck and J Decruyenaere},
journal = {BMC Med Inform Decis Mak},
title = {Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies},
abstract = {BACKGROUND: Several models for mortality prediction have been constructed for critically ill patients with haematological malignancies in recent years. These models have proven to be equally or more accurate in predicting hospital mortality in patients with haematological malignancies than ICU severity of illness scores such as the APACHE II or SAPS II 1. The objective of this study is to compare the accuracy of predicting hospital mortality in patients with haematological malignancies admitted to the ICU between models based on multiple logistic regression (MLR) and support vector machine (SVM) based models. METHODS: 352 patients with haematological malignancies admitted to the ICU between 1997 and 2006 for a life-threatening complication were included. 252 patient records were used for training of the models and 100 were used for validation. In a first model 12 input variables were included for comparison between MLR and SVM. In a second more complex model 17 input variables were used. MLR and SVM analysis were performed independently from each other. Discrimination was evaluated using the area under the receiver operating characteristic (ROC) curves (+/- SE). RESULTS: The area under ROC curve for the MLR and SVM in the validation data set were 0.768 (+/- 0.04) vs. 0.802 (+/- 0.04) in the first model (p = 0.19) and 0.781 (+/- 0.05) vs. 0.808 (+/- 0.04) in the second more complex model (p = 0.44). SVM needed only 4 variables to make its prediction in both models, whereas MLR needed 7 and 8 variables in the first and second model respectively. CONCLUSION: The discriminative power of both the MLR and SVM models was good. No statistically significant differences were found in discriminative power between MLR and SVM for prediction of hospital mortality in critically ill patients with haematological malignancies.},
affiliation = {Department of Intensive Care Medicine, Ghent University Hospital, Faculty of Medicine, Ghent University, Ghent, Belgium. thierry.verplancke@ugent.be},
pages = {56},
volume = {8},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Hematologic Neoplasms, Female, Hospital Mortality, Software, Logistic Models, Predictive Value of Tests, Middle Aged, Intensive Care Units, Male, Critical Illness, Algorithms, Humans, Prospective Studies, ROC Curve},
date-added = {2010-06-15 17:33:55 +0200},
date-modified = {2010-06-15 17:34:13 +0200},
doi = {10.1186/1472-6947-8-56},
pii = {1472-6947-8-56},
pmid = {19061509},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Verplancke-2008-BMC%20Med%20Inform%20Decis%20Mak_Support%20vector%20machi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12455},
rating = {3}
}

@article{Molenberghs:2004,
author = {G Molenberghs and G Verbeke},
journal = {Statistica Sinica},
title = {Meaningful statistical model formulations for repeated measures},
pages = {989--1020},
volume = {14},
year = {2004},
date-added = {2010-01-03 19:37:35 +0100},
date-modified = {2010-01-03 19:37:35 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Molenberghs-2004-Statistica%20Sinica_Meaningful%20statistic.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1105},
rating = {0}
}

@misc{Claeskens:2007,
author = {G Claeskens and M Aerts},
journal = {Miscellaneous},
title = {On local estimating equations in additive multiparameter models},
year = {2007},
date-added = {2010-01-10 11:33:20 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Claeskens-2007-Miscellaneous_On%20local%20estimating.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2116},
rating = {0}
}

@article{Bolton:2007p5241,
author = {Derek Bolton and Fr{\"u}hling Rijsdijk and Thomas G O'Connor and Sean Perrin and Thalia C Eley},
journal = {Psychol Med},
title = {Obsessive-compulsive disorder, tics and anxiety in 6-year-old twins},
abstract = {BACKGROUND: Previous reports of genetic influences on obsessive-compulsive disorder (OCD) symptoms have suggested moderate heritability. Family history studies of co-morbidity have found familial aggregation with tics, especially for early-onset OCD, and familial aggregation with anxiety disorders. METHOD: Heritability of OCD and familial aggregation of OCD, tics and anxiety disorders were investigated in a community sample of 6-year-old twins using a two-phase design in which 4662 twin pairs were sampled and 854 pairs were assessed in the second phase by maternal-informant diagnostic interview using DSM-IV criteria. RESULTS: In the multivariate model combined additive genetic and common environmental effects were estimated as 47% for sub-threshold OCD, and the model was unable to distinguish these sources of familial aggregation. There were strong familial aggregations between sub-threshold OCD and tics and between sub-threshold OCD and other anxiety disorders (80% and 97% respectively), although again specific sources could not be distinguished. CONCLUSIONS: The findings are consistent with the hypothesis of a tic-related early-onset OCD phenotype, but also with the hypothesis of an anxiety-related early-onset OCD phenotype.},
affiliation = {Institute of Psychiatry, Kings College London, UK. d.bolton@iop.kcl.ac.uk},
number = {1},
pages = {39--48},
volume = {37},
year = {2007},
month = {Jan},
language = {eng},
keywords = {Comorbidity, Female, Time Factors, Anxiety Disorders, Diagnostic and Statistical Manual of Mental Disorders, Humans, Twins, Phenotype, Social Environment, Male, Tics, Child, Obsessive-Compulsive Disorder},
date-added = {2010-02-09 21:57:25 +0100},
date-modified = {2010-02-09 21:57:26 +0100},
doi = {10.1017/S0033291706008816},
pii = {S0033291706008816},
pmid = {16999878},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5241},
rating = {0}
}

@article{Ihaka:2001p1817,
author = {R Ihaka},
journal = {DSC 2001 Proceedings of the 2nd International Workshop on Distributed Statistical Computing},
title = {R Graphics. The Good, The Bad, and the Ugly},
abstract = {The present R graphics system was originally written as a placeholder, which could be replaced when a better alternative became available. This temporary solution has now become so entrenched that it is probably no longer possible to remove it. In this paper we will look at some of what is possible in the R graphics system, how it could be improved, and what might not be fixable. We will also look at how the existing system might be augmented and see what tradeoffs might be involved in adding an additional graphics system.},
affiliation = {Department of Statistics, University of Auckland, New Zealand},
year = {2001},
date-added = {2010-01-09 22:51:19 +0100},
date-modified = {2010-01-09 22:52:21 +0100},
URL = {http://www.ci.tuwien.ac.at/Conferences/DSC-2001},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Ihaka-2001-DSC%202001%20Proceedings%20of%20the%202nd%20International%20Workshop%20on%20Distributed%20Statistical%20Computing_R%20Graphics.%20The%20Good.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1817},
read = {Yes},
rating = {0}
}

@article{Martin:2009p7641,
author = {Nicolas W Martin and Narelle K Hansell and Mark A Wainwright and Sri N Shekar and Sarah E Medland and Timothy C Bates and Jennifer S Burt and Nicholas G Martin and Margaret J Wright},
journal = {Behav Genet},
title = {Genetic covariation between theAuthor Recognition Test and reading and verbal abilities: what can we learn from the analysis of high performance?},
abstract = {The Author Recognition Test (ART) measures print exposure and is a unique predictor of phonological and orthographic processes in reading. In a sample of adolescent and young adult twins and siblings (216 MZ/430 DZ pairs, 307 singletons; aged 11-29 years) ART scores were moderately heritable (67%) and correlated with reading and verbal abilities, with genes largely accounting for the covariance. We also examine whether high (and low) (i.e. 1SD above the mean) represents a quantitative extreme of the normal distribution. Heritability for high ART was of similar magnitude to the full sample, but, a specific genetic factor, independent from both low ART performance and high reading ability, accounted for 53-58% of the variance. This suggests a distinct genetic etiology for high ART ability and we speculate that the specific genetic influence is on orthographical processing, a critical factor in developing word recognition skills.},
affiliation = {Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Brisbane, QLD, Australia. nico.martin@qimr.edu.au},
number = {4},
pages = {417--26},
volume = {39},
year = {2009},
month = {Jul},
language = {eng},
keywords = {Twins: Dizygotic, Reading, Analysis of Variance, Adult, Intelligence, Vocabulary, Models: Genetic, Genotype, Epistasis: Genetic, Aptitude, Recognition (Psychology), Male, Twins: Monozygotic, Adolescent, Queensland, Phenotype, Verbal Learning, Child: Gifted, Child, Female, Young Adult, Aptitude Tests, Social Environment, Phonetics, Siblings, Humans},
date-added = {2010-03-15 23:14:27 +0100},
date-modified = {2010-07-29 20:09:06 +0200},
doi = {10.1007/s10519-009-9275-y},
pmid = {19418212},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Martin-2009-Behav%20Genet_Genetic%20covariation.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7641},
rating = {0}
}

@article{Beseler:2010p13895,
author = {Cheryl L Beseler and Deborah S Hasin},
journal = {Addict Behav},
title = {Cannabis dimensionality: Dependence, abuse and consumption},
abstract = {AIMS: Genetic research on substance use disorders usually defines phenotypes as a binary diagnosis, resulting in a loss of information if the disorder is inherently dimensional. The DSM-IV criteria for drug dependence were based on a theoretically dimensional (linear) model. Considerable investigation has been conducted on DSM-IV alcohol criteria, but less is known about the dimensionality of DSM-IV cannabis criteria for abuse and dependence. The aim of this study is to assess whether DSM-IV cannabis dependence (including withdrawal) and abuse criteria fit a linear measure of severity and whether a consumption criterion adds linearly to severity. DESIGN/SETTING/PARTICIPANTS/MEASUREMENTS: Participants were 8172 in the National Epidemiologic Survey on Alcohol and Related Conditions who had ever used cannabis. Wald statistics were used to test whether categorical, dimensional or hybrid forms best fit the data. We examined the following as criterion sets: (1) dependence; (2) dependence and abuse; and (3) dependence, abuse and frequency of use. Validating variables included family history of drug problems, early onset of cannabis use, and antisocial personality disorder. FINDINGS: For cannabis dependence, no evidence was found for categorical or hybrid models; Wald tests indicated that models representing the seven DSM-IV dependence criteria as a linear severity measure best described the association between the criteria and validating variables. However, significant differences from linearity occurred after adding the four cannabis abuse criteria (p=0.03) and the use indicator (p=0.01) for family history and antisocial personality disorder. CONCLUSION: With ample power to detect non-linearity, cannabis dependence was shown to form an underlying continuum of severity. However, adding abuse criteria, with and without a measure of consumption, resulted in a model that differed significantly from linearity for two of the three validating variables.},
affiliation = {New York State Psychiatric Institute, New York, NY 10032, USA.},
pages = {},
year = {2010},
month = {Jun},
language = {ENG},
date-added = {2010-07-29 18:35:29 +0200},
date-modified = {2010-07-29 18:35:29 +0200},
doi = {10.1016/j.addbeh.2010.06.011},
pii = {S0306-4603(10)00171-1},
pmid = {20598807},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13895},
rating = {0}
}

@article{Forero:2009p10570,
author = {Carlos G Forero and Alberto Maydeu-Olivares},
journal = {Psychological Methods},
title = {Estimation of IRT graded response models: limited versus full information methods},
abstract = {The performance of parameter estimates and standard errors in estimating F. Samejima's graded response model was examined across 324 conditions. Full information maximum likelihood (FIML) was compared with a 3-stage estimator for categorical item factor analysis (CIFA) when the unweighted least squares method was used in CIFA's third stage. CIFA is much faster in estimating multidimensional models, particularly with correlated dimensions. Overall, CIFA yields slightly more accurate parameter estimates, and FIML yields slightly more accurate standard errors. Yet, across most conditions, differences between methods are negligible. FIML is the best election in small sample sizes (200 observations). CIFA is the best election in larger samples (on computational grounds). Both methods failed in a number of conditions, most of which involved 200 observations, few indicators per dimension, highly skewed items, or low factor loadings. These conditions are to be avoided in applications.},
affiliation = {Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Barcelona, Spain. carlos.garcia@ub.edu},
number = {3},
pages = {275--99},
volume = {14},
year = {2009},
month = {Sep},
language = {eng},
keywords = {Likelihood Functions, Psychometrics, Least-Squares Analysis, Models: Statistical, Logistic Models, Normal Distribution, Humans, Factor Analysis: Statistical, Psychological Tests, Reproducibility of Results},
date-added = {2010-04-07 11:34:09 +0200},
date-modified = {2010-04-07 11:34:09 +0200},
doi = {10.1037/a0015825},
pii = {2009-12975-006},
pmid = {19719362},
URL = {http://psycnet.apa.org/index.cfm?fa=search.displayRecord&uid=2009-12975-006},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Forero-2009-Psychological%20Methods_Estimation%20of%20IRT%20gr.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10570},
rating = {0}
}

@article{Connolly:2006p10990,
author = {Mary B Connolly and Glenda Hendson and Paul Steinbok},
journal = {Childs Nerv Syst},
title = {Tuberous sclerosis complex: a review of the management of epilepsy with emphasis on surgical aspects},
abstract = {OBJECTIVE: To review the management of epilepsy in patients with tuberous sclerosis complex (TSC) with an emphasis on surgical aspects, neuropathology, and pathogenesis. METHODS: Review of the literature and presentation of the authors' experience of surgery for refractory epilepsy in patients with TSC. RESULTS: TSC is a multisystem genetic disorder with variable phenotypic expression. TSC results from a mutation in the TSC1 gene on chromosome 9, which codes for hamartin, or in the TSC 2 gene on chromosome 16 which codes for tuberin. The majority of the patients have TSC as a result of spontaneous genetic mutations while in one-third of the patients, the disorder is inherited in an autosomal dominant manner. Epilepsy is the most common neurological complication, and up to 80-90% of individuals with TSC develop epilepsy at some point in their lifetime. The onset of epilepsy is typically in early childhood. Infantile spasms are a very common early seizure type although partial seizures may occur. Developmental delay, intellectual impairment, autism, behavioral problems, and neuropsychiatric disorders occur commonly in individuals with TSC and may be associated with poorly controlled epilepsy. Antiepileptic drugs are the first-line management for epilepsy but the ketogenic diet, resection of one or more tubers, corpus callosotomy, and vagus nerve stimulation are other therapeutic options for individuals with poorly controlled epilepsy.},
affiliation = {Division of Pediatric Neurology, Department of Pediatrics, University of British Columbia and British Columbia's Children's Hospital, Vancouver, British Columbia, Canada. mconnolly@cw.bc.ca},
number = {8},
pages = {896--908},
volume = {22},
year = {2006},
month = {Aug},
language = {eng},
keywords = {Psychosurgery, Electroencephalography, Epilepsy, Magnetic Resonance Imaging, Humans, Cognition, Tumor Suppressor Proteins, Tuberous Sclerosis},
date-added = {2010-04-13 16:28:08 +0200},
date-modified = {2010-04-13 16:28:08 +0200},
doi = {10.1007/s00381-006-0130-7},
pmid = {16770618},
URL = {http://www.springerlink.com/content/v1880528463n4262/},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Connolly-2006-Childs%20Nerv%20Syst_Tuberous%20sclerosis%20c.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10990},
rating = {0}
}

@article{Belfort:2008p5027,
author = {Mandy B Belfort and Sheryl L Rifas-Shiman and Janet W Rich-Edwards and Ken P Kleinman and Emily Oken and Matthew W Gillman},
journal = {Pediatrics},
title = {Infant growth and child cognition at 3 years of age},
abstract = {BACKGROUND: Infancy is a critical period for brain development. Few studies have examined the extent to which infant weight gain is associated with later neurodevelopmental outcomes in healthy populations. OBJECTIVE: The purpose of this work was to examine associations of infant weight gain from birth to 6 months with child cognitive and visual-motor skills at 3 years of age. PATIENTS AND METHODS: We studied 872 participants in Project Viva, an ongoing prospective, longitudinal, prebirth cohort. We abstracted birth weight from the medical chart and weighed infants at 6 months of age. We used the 2000 Centers for Disease Control and Prevention growth charts to derive weight-for-age z scores. Our primary predictor was infant weight gain, defined as the weight-for-age z score at 6 months adjusted for the weight-for-age z score at birth. At 3 years of age, we measured child cognition with the Peabody Picture Vocabulary Test III and visual-motor skills with the Wide Range Assessment of Visual Motor Abilities. RESULTS: Mean Peabody Picture Vocabulary Test III score was 104.2, and mean Wide Range Assessment of Visual Motor Abilities test score was 102.8. Mean birth weight z score was 0.21, and mean 6-month weight z score was 0.39. In multiple linear regression adjusted for child age, gender, gestational age, breastfeeding duration, primary language, and race/ethnicity; maternal age, parity, smoking status, and cognition; and parental education and income level, we found no association of infant weight gain with child Peabody Picture Vocabulary Test III score (-0.4 points per z score weight gain increment, 95% confidence interval -1.3, 0.6) or total Wide Range Assessment of Visual Motor Abilities standard score (-0.4 points, 95% confidence interval -1.2, 0.5). CONCLUSIONS: Slower infant weight gain was not associated with poorer neurodevelopmental outcomes in healthy, term-born 3-year-old children. These results should aid in determining optimal growth patterns in infants to balance risks and benefits of health outcomes through the life course.},
affiliation = {Children's Hospital Boston, Division of Newborn Medicine, Hunnewell 437, 300 Longwood Ave, Boston, MA 02115, USA. mandy.belfort@childrens.harvard.edu},
number = {3},
pages = {e689--95},
volume = {122},
year = {2008},
month = {Sep},
language = {eng},
keywords = {Male, Follow-Up Studies, Female, Prospective Studies, Humans, Child Development, Cognition, Time Factors, Body Weight, Child: Preschool, Pregnancy, Body Height, Parent-Child Relations, Infant, Adult, Massachusetts},
date-added = {2010-02-05 19:58:07 +0100},
date-modified = {2010-02-05 19:58:07 +0100},
doi = {10.1542/peds.2008-0500},
pii = {122/3/e689},
pmid = {18762504},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5027},
rating = {0}
}

@article{Revelle:2007p11672,
author = {W Revelle},
title = {Experimental Approaches to the Study of Personality},
abstract = {A review of the use of experimental techniques to develop and test theories of personality processes. Threats to valid inference including problems of scaling, reliability, and unintended confounds are considered. Basic experi- mental designs are discussed as ways of eliminating some, but not all threats to validity. A number of basic analytical procedures are demonstrated using simulated data that can be accessed from the web based appendix.},
year = {2007},
date-added = {2010-05-14 21:11:35 +0200},
date-modified = {2010-05-14 21:12:07 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Revelle-2007-_Experimental%20Approac.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11672},
rating = {0}
}

@article{Bolton:1993,
author = {RN Bolton},
journal = {Marketing Science},
title = {Pretesting questionnaires: Content analysis of respondents' concurrent verbal protocols},
abstract = {Conventional questionnaire pretesting methods focus on directly identifying question defects, such as an ambiguous question. This paper proposes a new method that identifies respondents' cognitive difficulties as they form answers to survey questions. It entails a content analysis of concurrent verbal protocols elicited during pretest interviews. The effectiveness of the methodology is illustrated with pretests of multiple versions of the same survey. The results are used to illustrate how this method yields diagnostic information about questionnaire problems and improvements. Then, the results are compared with the results of observational monitoring by managers. The findings indicate that a questionnaire pretesting methodology that quantifies respondents' cognitive difficulties is a useful enhancement for identifying and "improving" defective questions.},
pages = {280--303},
volume = {12},
year = {1993},
date-added = {2010-01-03 19:34:18 +0100},
date-modified = {2010-01-03 19:34:18 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p966},
rating = {0}
}

@article{Lange:1996p4731,
author = {N Lange},
journal = {Stat Med},
title = {Statistical approaches to human brain mapping by functional magnetic resonance imaging},
abstract = {Proper use of functional neuro-imaging through effective experimental design and modern statistical analysis provides new insights in current brain research. This tutorial has two aims: to describe aspects of this technology to applied statisticians and to provide some statistical ideas to neuroscientists unfamiliar with quantitative analytic methods that accommodate randomness. Introductory background material and ample references to current literature on the physics of magnetic resonance imaging, Fourier methods for image reconstruction and measures of image quality are included. Two of the statistical approaches mentioned here are extensions of established methods for longitudinal data analysis to the frequency domain. A recent case study provides real-world instances of approaches, problems and open questions encountered in current functional neuro-imaging research and an introduction to the analysis of spatial time series in this context.},
affiliation = {National Institutes of Health, Bethesda, MD 20892-9135, USA.},
number = {4},
pages = {389--428},
volume = {15},
year = {1996},
month = {Feb},
language = {eng},
keywords = {Fourier Analysis, Magnetic Resonance Imaging, Signal Processing: Computer-Assisted, Algorithms, Stochastic Processes, Gerstmann Syndrome, Research Design, Brain Mapping, Longitudinal Studies, Data Interpretation: Statistical, Humans, Statistics: Nonparametric},
date-added = {2010-01-30 16:20:10 +0100},
date-modified = {2010-01-30 16:20:10 +0100},
doi = {10.1002/(SICI)1097-0258(19960229)15:4<389::AID-SIM285>3.0.CO;2-J},
pii = {10.1002/(SICI)1097-0258(19960229)15:4<389::AID-SIM285>3.0.CO;2-J},
pmid = {8668868},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Lange-1996-Stat%20Med_Statistical%20approach.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4731},
rating = {0}
}

@article{vanWalraven:2010p12085,
author = {Carl van Walraven and Peter C Austin and Douglas Manuel and Greg Knoll and Allison Jennings and Alan J Forster},
journal = {Journal of Clinical Epidemiology},
title = {The usefulness of administrative databases for identifying disease cohorts is increased with a multivariate model},
abstract = {BACKGROUND: Administrative databases commonly use codes to indicate diagnoses. These codes alone are often inadequate to accurately identify patients with particular conditions. In this study, we determined whether we could quantify the probability that a person has a particular disease-in this case renal failure-using other routinely collected information available in an administrative data set. This would allow the accurate identification of a disease cohort in an administrative database. METHODS: We determined whether patients in a randomly selected 100,000 hospitalizations had kidney disease (defined as two or more sequential serum creatinines or the single admission creatinine indicating a calculated glomerular filtration rate less than 60mL/min/1.73m(2)). The independent association of patient- and hospitalization-level variables with renal failure was measured using a multivariate logistic regression model in a random 50% sample of the patients. The model was validated in the remaining patients. RESULTS: Twenty thousand seven hundred thirteen patients had kidney disease (20.7%). A diagnostic code of kidney disease was strongly associated with kidney disease (relative risk: 34.4), but the accuracy of the code was poor (sensitivity: 37.9%; specificity: 98.9%). Twenty-nine patient- and hospitalization-level variables entered the kidney disease model. This model had excellent discrimination (c-statistic: 90.1%) and accurately predicted the probability of true renal failure. The probability threshold that maximized sensitivity and specificity for the identification of true kidney disease was 21.3% (sensitivity: 80.0%; specificity: 82.2%). CONCLUSION: Multiple variables available in administrative databases can be combined to quantify the probability that a person has a particular disease. This process permits accurate identification of a disease cohort in an administrative database. These methods may be extended to other diagnoses or procedures and could both facilitate and clarify the use of administrative databases for research and quality improvement.},
affiliation = {Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; Faculty of Medicine, University of Ottawa, Ontario, Canada.},
pages = {},
year = {2010},
month = {May},
language = {ENG},
date-added = {2010-05-24 12:31:17 +0200},
date-modified = {2010-05-24 12:31:17 +0200},
doi = {10.1016/j.jclinepi.2010.01.016},
pii = {S0895-4356(10)00095-8},
pmid = {20457509},
local-url = {file://localhost/Users/chl/Dropbox/Papers/van%20Walraven-2010-Journal%20of%20Clinical%20Epidemiology_The%20usefulness%20of%20ad-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12085},
rating = {0}
}

@article{Statnikov:2007p12871,
author = {A Statnikov and C F Aliferis},
title = {Are Random Forests Better than Support Vector Machines for Microarray-Based Cancer Classification?},
abstract = {Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with sev- eral molecular signatures on their way toward clini- cal deployment. Use of the most accurate decision support algorithms available for microarray gene expression data is a critical ingredient in order to develop the best possible molecular signatures for patient care. As suggested by a large body of litera- ture to-date, support vector machines can be consi- dered ``best of class'' algorithms for classification of such data. Recent work however found that random forest classifiers outperform support vector ma- chines. In the present paper we point to several bi- ases of this prior work and conduct a new unbiased evaluation of the two algorithms. Our experiments using 18 diagnostic and prognostic datasets show that support vector machines outperform random forests often by a large margin.},
year = {2007},
date-added = {2010-06-24 12:54:06 +0200},
date-modified = {2010-06-24 12:54:43 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Statnikov-2007-_Are%20Random%20Forests%20B.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12871},
rating = {0}
}

@article{Schemper:1997p4699,
author = {M Schemper and G Heinze},
journal = {Stat Med},
title = {Probability imputation revisited for prognostic factor studies},
abstract = {The analysis of prognostic factor studies by Cox or logistic regression models is often impeded by missing covariate values. In 1990 Schemper and Smith recommended a conditional probability imputation technique (PIT) for the analysis of treatment studies which can be easily applied using standard software and which has been demonstrated to outperform the complete case and omission of covariates strategies. Recent research, however, showed that PIT cannot universally be recommended and it was concluded that model-based methods should be preferred. We agree with these conclusions but also think that there is enough empirical evidence to judge the performance of PIT to be satisfactory in typical prognostic factor studies. Furthermore, comparisons of PIT with multiple imputation in the same context did not indicate an advantage of the latter more involved technique. By means of an analysis of a prostate cancer data set various aspects of application of PIT are discussed, in particular that PIT permits direct comparability of marginal and partial effects analyses. We conclude that PIT continues to be an appropriate and attractive choice for analyses of prognostic factor studies.},
affiliation = {Department of Medical Computer Sciences, Vienna University, Austria.},
number = {1-3},
pages = {73--80},
volume = {16},
year = {1997},
month = {Jan},
language = {eng},
keywords = {Probability, Prostatic Neoplasms, Monte Carlo Method, Randomized Controlled Trials as Topic, Male, Likelihood Functions, Logistic Models, Prognosis, Prospective Studies, Data Interpretation: Statistical, Survival Analysis, Humans},
date-added = {2010-01-30 16:18:30 +0100},
date-modified = {2010-01-30 16:18:30 +0100},
pii = {10.1002/(SICI)1097-0258(19970115)16:1<73::AID-SIM472>3.0.CO;2-Z},
pmid = {9004384},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Schemper-1997-Stat%20Med_Probability%20imputati.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4699},
rating = {0}
}

@article{Anonymous:2010p1846,
title = {A computerized adaptive testing procedure applied to ordinal polytomous personality item response},
date-added = {2010-01-10 10:44:58 +0100},
date-modified = {2010-01-10 19:36:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/A%20computerized%20adapt.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1846},
read = {Yes},
rating = {0}
}

@misc{Geerlings:2005,
author = {H Geerlings},
journal = {Miscellaneous},
title = {The accuracy of estimation procedures based on the imputation of plausible values},
year = {2005},
month = {Sep},
date-added = {2010-01-10 11:33:10 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Geerlings-2005-Miscellaneous_The%20accuracy%20of%20esti.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1920},
rating = {0}
}

@article{GlezPena:2009p11613,
author = {Daniel Glez-Pe{\~n}a and Rodrigo Alvarez and Fernando D{\'\i}az and Florentino Fdez-Riverola},
journal = {BMC Bioinformatics},
title = {DFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data},
abstract = {BACKGROUND: Expression profiling assays done by using DNA microarray technology generate enormous data sets that are not amenable to simple analysis. The greatest challenge in maximizing the use of this huge amount of data is to develop algorithms to interpret and interconnect results from different genes under different conditions. In this context, fuzzy logic can provide a systematic and unbiased way to both (i) find biologically significant insights relating to meaningful genes, thereby removing the need for expert knowledge in preliminary steps of microarray data analyses and (ii) reduce the cost and complexity of later applied machine learning techniques being able to achieve interpretable models. RESULTS: DFP is a new Bioconductor R package that implements a method for discretizing and selecting differentially expressed genes based on the application of fuzzy logic. DFP takes advantage of fuzzy membership functions to assign linguistic labels to gene expression levels. The technique builds a reduced set of relevant genes (FP, Fuzzy Pattern) able to summarize and represent each underlying class (pathology). A last step constructs a biased set of genes (DFP, Discriminant Fuzzy Pattern) by intersecting existing fuzzy patterns in order to detect discriminative elements. In addition, the software provides new functions and visualisation tools that summarize achieved results and aid in the interpretation of differentially expressed genes from multiple microarray experiments. CONCLUSION: DFP integrates with other packages of the Bioconductor project, uses common data structures and is accompanied by ample documentation. It has the advantage that its parameters are highly configurable, facilitating the discovery of biologically relevant connections between sets of genes belonging to different pathologies. This information makes it possible to automatically filter irrelevant genes thereby reducing the large volume of data supplied by microarray experiments. Based on these contributions GENECBR, a successful tool for cancer diagnosis using microarray datasets, has recently been released.},
affiliation = {Escuela Superior de Ingenier{\'\i}a Inform{\'a}tica, University of Vigo, Edificio Polit{\'e}cnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain. dgpena@uvigo.es},
pages = {37},
volume = {10},
year = {2009},
month = {Jan},
language = {eng},
keywords = {Gene Expression Profiling, Fuzzy Logic, Genomics, Oligonucleotide Array Sequence Analysis, Software},
date-added = {2010-05-11 21:43:47 +0200},
date-modified = {2010-07-29 20:21:12 +0200},
doi = {10.1186/1471-2105-10-37},
pii = {1471-2105-10-37},
pmid = {19178723},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Glez-Pe%C3%B1a-2009-BMC%20Bioinformatics_DFP%20a%20Bioconductor.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11613},
rating = {0}
}

@article{Dunlop:2010p12761,
author = {Boadie W Dunlop and Thomas Li and Susan G Kornstein and Edward S Friedman and Anthony J Rothschild and Ron Pedersen and Philip Ninan and Martin Keller},
journal = {Psychiatry Res},
title = {Correlation between patient and clinician assessments of depression severity in the PREVENT study},
abstract = {BACKGROUND: The degree of agreement between patient- and clinician-rated scales of depressive severity varies widely. This study analyzed agreement between commonly used depression rating scales in the Prevention of Recurrent Episodes of Depression with Venlafaxine Extended Release (ER) for Two Years (PREVENT) trial. METHODS: The PREVENT trial was a multiphase, randomized, double-blind study of patients with recurrent major depressive disorder. This secondary analysis evaluated acute (10weeks) and continuation phase (6months) data. Pearson correlation coefficients at each acute-phase (weekly) and continuation-phase (monthly) visit were calculated for patient-rated (30-item Inventory of Depressive Symptomatology-Self-Rated [IDS-SR30] and clinician-rated (17-item Hamilton Rating Scale for Depression [HAM-D17] and Clinical Global Impressions-Severity [CGI-S]) measures and for response and remission. RESULTS: Data from 1,047 patients were analyzed. The respective correlation coefficients at baseline, week 10, and month 6 were: IDS-SR30: HAM-D17: 0.46, 0.75, 0.70; and for IDS-SR30: CGI-S 0.28, 0.67, 0.65. Agreement between IDS-SR30- and HAM-D17-defined remission and response was relatively poor: week 10, 0.52 and 0.34, respectively; month 6, 0.45 and 0.32, respectively. CONCLUSIONS: These findings suggest that patient-rated measures of depression severity do not correspond strongly with clinician ratings, and are particularly poor prior to the initiation of treatment.},
affiliation = {Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA. bdunlop@emory.edu},
number = {1-2},
pages = {177--83},
volume = {177},
year = {2010},
month = {May},
language = {eng},
date-added = {2010-06-15 22:52:41 +0200},
date-modified = {2010-06-15 22:52:54 +0200},
doi = {10.1016/j.psychres.2010.02.008},
pii = {S0165-1781(10)00054-5},
pmid = {20304503},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Dunlop-2010-Psychiatry%20Res_Correlation%20between.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12761},
rating = {4}
}

@article{Newsom:2010p6790,
author = {Newsom},
title = {Some Clarifications and Recommendations on Fit Indices},
year = {2010},
date-added = {2010-03-05 22:28:10 +0100},
date-modified = {2010-03-05 22:28:38 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Newsom-2010-_Some%20Clarifications.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6790},
rating = {0}
}

@article{McArdle:2006p4943,
author = {John J McArdle},
journal = {Twin research and human genetics : the official journal of the International Society for Twin Studies},
title = {Latent curve analyses of longitudinal twin data using a mixed-effects biometric approach},
abstract = {In a recent article McArdle and Prescott (2005) showed how simultaneous estimation of the biometric parameters can be easily programmed using current mixed-effects modeling programs (e.g., SAS PROC MIXED). This article extends these concepts to deal with mixed-effect modeling of longitudinal twin data. The biometric basis of a polynomial growth curve model was used by Vandenberg and Falkner (1965) and this general class of longitudinal models was represented in structural equation form as a latent curve model by McArdle (1986). The new mixed-effects modeling approach presented here makes it easy to analyze longitudinal growth-decline models with biometric components based on standard maximum likelihood estimation and standard indices of goodness-of-fit (i.e., chi(2), df, epsilon(a)). The validity of this approach is first checked by the creation of simulated longitudinal twin data followed by numerical analysis using different computer programs (i.e., Mplus, Mx, MIXED, NLMIXED). The practical utility of this approach is examined through the application of these techniques to real longitudinal data from the Swedish Adoption/Twin Study of Aging (Pedersen et al., 2002). This approach generally allows researchers to explore the genetic and nongenetic basis of the latent status and latent changes in longitudinal scores in the absence of measurement error. These results show the mixed-effects approach easily accounts for complex patterns of incomplete longitudinal or twin pair data. The results also show this approach easily allows a variety of complex latent basis curves, such as the use of age-at-testing instead of wave-of-testing. Natural extensions of this mixed-effects longitudinal approach include more intensive studies of the available data, the analysis of categorical longitudinal data, and mixtures of latent growth-survival/frailty models.},
affiliation = {Department of Psychology, University of Southern California, Los Angeles, 90089, USA. jmcardle@usc.edu},
number = {3},
pages = {343--59},
volume = {9},
year = {2006},
month = {Jun},
language = {eng},
keywords = {Models: Statistical, Humans, Longitudinal Studies, Biometry, Cognition Disorders, Twin Studies as Topic, Software, Models: Genetic},
date-added = {2010-02-03 20:58:47 +0100},
date-modified = {2010-07-29 19:54:54 +0200},
doi = {10.1375/183242706777591263},
pmid = {16790145},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4943},
rating = {0}
}

@article{Neale:2003p7556,
author = {Michael C Neale},
journal = {Twin Res},
title = {A finite mixture distribution model for data collected from twins},
abstract = {Most analyses of data collected from a classical twin study of monozygotic (MZ) and dizygotic (DZ) twins assume that zygosity has been diagnosed without error. However, large scale surveys frequently resort to questionnaire-based methods of diagnosis which classify twins as MZ or DZ with less than perfect accuracy. This article describes a mixture distribution approach to the analysis of twin data when zygosity is not perfectly diagnosed. Estimates of diagnostic accuracy are used to weight the likelihood of the data according to the probability that any given pair is either MZ or DZ. The performance of this method is compared to fully accurate diagnosis, and to the analysis of samples that include some misclassified pairs. Conventional analysis of samples containing misclassified pairs yields biased estimates of variance components, such that additive genetic variance (A) is underestimated while common environment (C) and specific environment (E) components are overestimated. The bias is non-trivial; for 10% misclassification, true values of Additive genetic: Common environment: Specific Environment variance components of.6:.2:.2 are estimated as.48:.29:.23, respectively. The mixture distribution yields unbiased estimates, while showing relatively little loss of statistical precision for misclassification rates of 15% or less. The method is shown to perform quite well even when no information on zygosity is available, and may be applied when pair-specific estimates of zygosity probabilities are available.},
affiliation = {Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond 23298, USA. neale@hsc.vcu.edu},
number = {3},
pages = {235--9},
volume = {6},
year = {2003},
month = {Jun},
language = {eng},
keywords = {Humans, Research Design, Twins, Models: Statistical, Twin Studies as Topic},
date-added = {2010-03-14 10:54:47 +0100},
date-modified = {2010-03-14 10:54:59 +0100},
doi = {10.1375/136905203765693898},
pmid = {12855073},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Neale-2003-Twin%20Res_A%20finite%20mixture%20dis.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7556},
rating = {3}
}

@article{Maas:2005,
author = {H L J van der Maas and M E J Raijmakers and I Visser},
journal = {Behavior research methods},
title = {Inferring the structure of latent class models using a genetic algorithm},
number = {2},
pages = {340--352},
volume = {37},
year = {2005},
date-added = {2010-01-10 11:33:17 +0100},
date-modified = {2010-07-29 19:18:35 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Maas-2005-Behavior%20research%20methods_Inferring%20the%20struct.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2140},
rating = {0}
}

@article{Krummenauer:2002p4605,
author = {F Krummenauer and B Dick and O Schwenn and N Pfeiffer},
journal = {British Journal of Ophtalmology},
title = {The determination of sample size in
controlled clinical trials in
ophthalmology},
pages = {946--947},
volume = {86},
year = {2002},
date-added = {2010-01-29 22:46:39 +0100},
date-modified = {2010-01-29 22:47:52 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Krummenauer-2002-British%20Journal%20of%20Ophtalmology_The%20determination%20of.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4605},
rating = {0}
}

@article{Whitley:2002p8045,
author = {Elise Whitley and Jonathan Ball},
journal = {Crit Care},
title = {Statistics review 4: sample size calculations},
abstract = {The present review introduces the notion of statistical power and the hazard of under-powered studies. The problem of how to calculate an ideal sample size is also discussed within the context of factors that affect power, and specific methods for the calculation of sample size are presented for two common scenarios, along with extensions to the simplest case.},
affiliation = {Medical Statistics, University of Bristol, Bristol, UK.},
number = {4},
pages = {335--41},
volume = {6},
year = {2002},
month = {Aug},
language = {eng},
keywords = {Research Design, Humans, Statistics as Topic, Clinical Trials as Topic, Shock: Septic, Sample Size, Respiratory Distress Syndrome: Adult},
date-added = {2010-03-20 19:44:05 +0100},
date-modified = {2010-03-20 19:44:22 +0100},
pmid = {12225610},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Whitley-2002-Crit%20Care_Statistics%20review%204.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8045},
rating = {5}
}

@article{Mccrae:2010p11675,
author = {R R Mccrae and O P John},
title = {An Introduction to the Five-Factor Model and Its Applications},
abstract = {The five-factor model of personality is a hierarchical organi- zation of personality traits in terms of five basic dimensions: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience. Research using both natural language adjectives and theoretically based per- sonality questionnaires supports the comprehensiveness of the model and its applicability across observers and cultures. This article summarizes the history of the model and its supporting evidence; discusses conceptions of the nature of the factors; and outlines an agenda for theorizing about the origins and operation of the factors. We argue that the model should prove useful both for individual assessment and for the elucidation of a number of topics of interest to personality psychologists.},
date-added = {2010-05-14 21:14:55 +0200},
date-modified = {2010-05-14 21:15:35 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Mccrae--_An%20Introduction%20to%20t.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11675},
rating = {4}
}

@article{Hattie:1985p2685,
author = {J Hattie},
journal = {Applied Psychological Measurement},
title = {Methodology Review: Assessing Unidimensionality of Tests and ltems},
number = {2},
pages = {139--164},
volume = {9},
year = {1985},
date-added = {2010-01-13 10:02:35 +0100},
date-modified = {2010-07-29 19:16:53 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hattie-1985-Applied%20Psychological%20Measurement_Methodology%20Review.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2685},
rating = {0}
}

@article{Horton:2004p860,
author = {N J Horton and E R Brown and Linuan Qian},
journal = {The American Statistician},
title = {Use of R as a Toolbox for Mathematical Statistics Exploration},
abstract = {The R language, a freely available environment for statistical computing and graphics is widely used in many fields. This ``expert-friendly'' system has a powerful command language and programming environment, combined with an active user community. We discuss how R is ideal as a platform to support experimentation in mathematical statistics, both at the undergraduate and graduate levels. Using a series of case studies and activities, we describe how R can be used in a mathematical statistics course as a toolbox for experimentation. Examples include the calculation of a running average, maximization of a nonlinear function, resampling of a statistic, simple Bayesian modeling, sampling from multivariate normal, and estimation of power. These activities, often requiring only a few dozen lines of code, offer students the opportunity to explore statistical concepts and experiment. In addition, they provide an introduction to the framework and idioms available in this rich environment.},
number = {4},
pages = {343--357},
volume = {58},
year = {2004},
keywords = {Statistical computing, Mathematical statistics education},
date-added = {2010-01-03 17:51:50 +0100},
date-modified = {2010-01-03 17:53:53 +0100},
doi = {10.1198/000313004X5572},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Horton-2004-The%20American%20Statistician_Use%20of%20R%20as%20a%20Toolbo.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p860},
rating = {0}
}

@article{Harrison:2009p11767,
author = {Mark J Harrison and Linda M Davies and Nick J Bansback and Melanie J McCoy and Tracey M Farragher and Suzanne M M Verstappen and Andrew Hassell and Deborah P M Symmons},
journal = {Value Health},
title = {Why do patients with inflammatory arthritis often score states "worse than death" on the EQ-5D? An Investigation of the EQ-5D classification system},
abstract = {OBJECTIVE: Using inflammatory arthritis patients as an example, we investigate EuroQol-5D (EQ-5D) profiles resulting in states worse than death (WTD), and the heath status of patients occupying these states. METHODS: Baseline data from two UK trials were used that reflected the range of arthritis states/severity found in routine practice. EQ-5D profiles resulting in negative valuations (i.e., states WTD) based on UK weights were identified. EQ-5D scores for these profiles from alternative valuation sets, including a reanalysis of the UK weights, were compared. The health status and characteristics of patients, and factors associated with patients in the low distribution of the EQ-5D and those with WTD EQ-5D scores were identified. RESULTS: Seven hundred patients were included in the analysis. Sixty-two (9%) patients occupied states WTD. Patients occupied 9 of the possible 84 health profiles with negative scores (53% occupied one profile); this profile was not rated WTD by any of the alternative EQ-5D scoring algorithms. All WTD profiles included severe pain/discomfort plus moderate problems in >or=3 other domains. Patients with WTD valuations reported higher levels of pain, and feeling downhearted and low on alternative health status measures. CONCLUSIONS: Pain was the predominant factor in the WTD EQ-5D profiles occupied by arthritis patients. Patients occupying states WTD have poorer health-related quality of life than patients in low "better than death" states. Valuations of profiles vary according to how sets of preference weights for health profiles were developed. Further research should explore whether WTD valuations are supported by qualitative evidence and reflect the patient's health and experience of disease.},
affiliation = {arc Epidemiology Unit, The University of Manchester, Manchester, UK. mark.harrison@manchester.ac.uk},
number = {6},
pages = {1026--34},
volume = {12},
year = {2009},
month = {Sep},
language = {eng},
keywords = {Multicenter Studies as Topic, Logistic Models, Severity of Illness Index, Middle Aged, Aged, Death, Quality of Life, Female, Depression, Arthritis, Health Status, Randomized Controlled Trials as Topic, Arthritis: Rheumatoid, Sickness Impact Profile, Humans, Great Britain, Male, Pain},
date-added = {2010-05-23 10:36:26 +0200},
date-modified = {2010-05-23 10:36:27 +0200},
doi = {10.1111/j.1524-4733.2009.00565.x},
pii = {VHE565},
pmid = {19473335},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Harrison-2009-Value%20Health_Why%20do%20patients%20with.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11767},
rating = {0}
}

@article{Hofstee:1992p13834,
author = {W K Hofstee and B de Raad and L R Goldberg},
journal = {J Pers Soc Psychol},
title = {Integration of the big five and circumplex approaches to trait structure},
abstract = {To integrate the 5-dimensional simple-structure and circumplex models of personality, the Abridged Big Five Dimensional Circumplex (AB5C) taxonomy of personality traits was developed, consisting of the 10 circumplexes that can be formed by pitting each of the Big Five factors against one another. The model maps facets of the Big Five dimensions as blends of 2 factors. An application to data consisting of 636 self-ratings and peer ratings on 540 personality trait adjectives yielded 34 well-defined facets out of a possible 45. The AB5C solution is compared with simple-structure and lower dimensional circumplex solutions, and its integrative and corrective potential are discussed, as well as its limitations.},
affiliation = {Department of Psychology, University of Groningen, The Netherlands.},
number = {1},
pages = {146--63},
volume = {63},
year = {1992},
month = {Jul},
language = {eng},
keywords = {Models: Psychological, Adult, Personality Inventory, Humans, Psychometrics, Personality Assessment},
date-added = {2010-07-29 17:15:09 +0200},
date-modified = {2010-07-29 19:35:33 +0200},
pmid = {1494982},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hofstee-1992-J%20Pers%20Soc%20Psychol_Integration%20of%20the%20b.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13834},
rating = {0}
}

@article{King:2010p6517,
author = {Madeleine T King and Martin R Stockler and David F Cella and David Osoba and David T Eton and Joanna Thompson and Amy R Eisenstein},
journal = {Journal of Clinical Epidemiology},
title = {Meta-analysis provides evidence-based effect sizes for a cancer-specific quality-of-life questionnaire, the FACT-G},
abstract = {OBJECTIVE: To compare Cohen's guidelines for small (0.2), medium (0.5), and large (0.8) effect sizes with empirical estimates for a cancer-specific health-related quality-of-life questionnaire (HRQOL), the Functional Assessment of Cancer Therapy - General (FACT-G). METHODS: Seventy-one papers satisfied inclusion criteria for meta-analysis. Blinded to the HRQOL results, three "experts" (with expertise in interpreting the FACT-G questionnaire and managing cancer patients), predicted the relative magnitude of HRQOL mean differences. Size classes (small, medium, large) were defined in terms of relevance to clinical decision making. The experts worked independently and based their predictions on patient characteristics and clinical circumstances. Their judgments were linked with FACT-G results and inverse-variance-weighted mean effect sizes calculated for each size class. RESULTS: At least two experts were perfectly concordant and up to one was discordant by at most one size category for 833 of the mean differences; for these, weighted kappas were generally in the "substantial" range (0.60-0.79). Of these mean differences, 617 were cross-sectional; small, medium, and large mean effect sizes were physical well-being 0.42, 0.87, 1.6; functional well-being 0.37, 0.71, 1.6; emotional well-being 0.32, 0.40, no large differences; and social well-being 0.14, 0.23, no large differences. Two hundred and sixteen longitudinal mean differences yielded small and medium effect sizes: physical well-being 0.26, 0.34; functional well-being 0.14, 0.28; emotional well-being 0.27, 0.23; and social well-being 0.08, 0.01. There was virtually no evidence for large longitudinal effects. CONCLUSION: These results provide specific, evidence-based alternatives to Cohen's generic guidelines, for use in sample-size calculations for the FACT-G and interpretation of the clinical significance of effects measured with FACT-G.},
affiliation = {Quality of Life Office, Psycho-oncology Co-operative Research Group, School of Psychology, University of Sydney, Sydney, NSW 2006, Australia; Centre for Health Economics Research and Evaluation, University of Technology, Sydney, NSW, Australia.},
number = {3},
pages = {270--281},
volume = {63},
year = {2010},
month = {Mar},
language = {ENG},
date-added = {2010-02-23 08:41:39 +0100},
date-modified = {2010-02-23 08:41:39 +0100},
doi = {10.1016/j.jclinepi.2009.05.001},
pii = {S0895-4356(09)00149-8},
pmid = {19716264},
local-url = {file://localhost/Users/chl/Dropbox/Papers/King-2010-Journal%20of%20Clinical%20Epidemiology_Meta-analysis%20provid-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6517},
rating = {0}
}

@article{Medvedev:2009p9911,
author = {Paul Medvedev and Monica Stanciu and Michael Brudno},
journal = {Nat Methods},
title = {Computational methods for discovering structural variation with next-generation sequencing},
abstract = {In the last several years, a number of studies have described large-scale structural variation in several genomes. Traditionally, such methods have used whole-genome array comparative genome hybridization or single-nucleotide polymorphism arrays to detect large regions subject to copy-number variation. Later techniques have been based on paired-end mapping of Sanger sequencing data, providing better resolution and accuracy. With the advent of next-generation sequencing, a new generation of methods is being developed to tackle the challenges of short reads, while taking advantage of the high coverage the new sequencing technologies provide. In this survey, we describe these methods, including their strengths and their limitations, and future research directions.},
affiliation = {Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.},
number = {11 Suppl},
pages = {S13--20},
volume = {6},
year = {2009},
month = {Nov},
language = {eng},
keywords = {Computational Biology, Genomics, Genome, Sequence Analysis: DNA, Humans, Algorithms, Genetic Variation, Base Sequence},
date-added = {2010-03-31 16:06:25 +0200},
date-modified = {2010-03-31 16:06:25 +0200},
doi = {10.1038/nmeth.1374},
pii = {nmeth.1374},
pmid = {19844226},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Medvedev-2009-Nat%20Methods_Computational%20method.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9911},
rating = {0}
}

@article{Manning:2009p3374,
author = {Alisa K Manning and Julius Suh Ngwa and Audrey E Hendricks and Ching-Ti Liu and Andrew D Johnson and Jos{\'e}e Dupuis and L Adrienne Cupples},
journal = {BMC Proc},
title = {Incorporating biological knowledge in the search for gene x gene interaction in genome-wide association studies},
abstract = {ABSTRACT : We sought to find significant gene x gene interaction in a genome-wide association analysis of rheumatoid arthritis (RA) by performing pair-wise tests of interaction among collections of single-nucleotide polymorphisms (SNPs) obtained by one of two methods. The first method involved screening the results of the genome-wide association analysis for main effects p-values < 1 x 10-4. The second method used biological databases such as the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes to define gene collections that each contained one of four genes with known associations with RA: PTPN22, STAT4, TRAF1, and C5. We used a permutation approach to determine whether any of these SNP sets had empirical enrichment of significant interaction effects. We found that the SNP set obtained by the first method was significantly enriched with significant interaction effects (empirical p = 0.003). Additionally, we found that the "protein complex assembly" collection of genes from the Gene Ontology collection containing the TRAF1 gene was significantly enriched with interaction effects with p-values < 1 x 10-8 (empirical p = 0.012).},
affiliation = {School of Public Health, Boston University, 715 Albany Street, Boston, Massachusetts 02118, USA. amanning@bu.edu.},
pages = {S81},
volume = {3 Suppl 7},
year = {2009},
month = {Jan},
language = {eng},
date-added = {2010-01-15 14:40:54 +0100},
date-modified = {2010-01-15 14:40:56 +0100},
pmid = {20018077},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3374},
rating = {3}
}

@article{MorenoJimenez:2007p13048,
author = {Bernardo Moreno-Jim{\'e}nez and Balbina L{\'o}pez Blanco and Alfredo Rodr{\'\i}guez-Mu{\~n}oz and Eva Garrosa Hern{\'a}ndez},
journal = {J Psychosom Res},
title = {The influence of personality factors on health-related quality of life of patients with inflammatory bowel disease},
abstract = {OBJECTIVE: The aim of the study was to examine the influence of personality factors on health-related quality of life (HRQOL) in patients with inflammatory bowel disease (IBD). METHODS: A total of 120 individuals, 60 with ulcerative colitis and 60 with Crohn's disease, filled out the Inflammatory Bowel Disease Questionnaire, the Rosenberg Self-Esteem Scale, the Neuroticism scale of the Eysenck Personality Inventory, and a scale about difficulty describing feelings to other people. Sociodemographic and clinical information was also collected. RESULTS: Results of hierarchical regression analysis, after controlling for possible confounder effects of demographic and clinical variables, showed the predictive power of the block of personality variables, accounting for significant amounts (13-22%) of variance across the four HRQOL measures. Except for self-esteem, which was the factor most closely related to social functioning, neuroticism seemed to be the most closely related to the four indicators of quality of life. It was also found that greater difficulty in describing feelings was linked to poorer HRQOL. CONCLUSION: In summary, some personality factors are useful for understanding the process of HRQOL in patients with IBD. Recognizing these differences may enrich clinical research and may be crucial when designing interventions aimed at treatment effectiveness.},
affiliation = {Department of Biological and Health Psychology, Faculty of Psychology, Autonomous University of Madrid, Madrid, Spain. bernardo.moreno@uam.es},
number = {1},
pages = {39--46},
volume = {62},
year = {2007},
month = {Jan},
language = {eng},
keywords = {Psychotherapy, Male, Adaptation: Psychological, Aged, Patient Satisfaction, Adult, Female, Neurotic Disorders, Middle Aged, Colitis: Ulcerative, Quality of Life, Affective Symptoms, Humans, Character, Self Concept, Needs Assessment, Sick Role, Crohn Disease},
date-added = {2010-06-26 09:44:13 +0200},
date-modified = {2010-06-26 09:44:13 +0200},
doi = {10.1016/j.jpsychores.2006.07.026},
pii = {S0022-3999(06)00355-2},
pmid = {17188119},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Moreno-Jim%C3%A9nez-2007-J%20Psychosom%20Res_The%20influence%20of%20per.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13048},
rating = {0}
}

@article{Hernandez:2006,
author = {JM Hernandez and Victor J Rubio and Javier Revuelta and Jos{\'e} Santacreu},
journal = {Educational and Psychological Measurement},
title = {A Procedure for Estimating Intrasubject Behavior Consistency},
abstract = {Trait psychology implicitly assumes consistency of the personal traits. Mischel, however, argued against the idea of a general consistency of human beings. The present article aims to design a statistical procedure based on an adaptation of the {\$}\pi^*{\$} statistic to measure the degree of intraindividual consistency independently of the measure used. Three studies were carried out for testing the suitability of the {\$}\pi^*{\$} statistic and the proportion of subjects who act consistently. Results have shown the appropriateness of the statistic proposed and that the percentage of consistent individuals depends on whether test items can be assumed as equivalents and the number of response alternatives they contained. The results suggest that the percentage of consistent subjects is far from 100%, and this percentage decreases when items are equivalent. Moreover, the greater the number of response options, the lesser the percentage of consistent individuals.},
number = {3},
pages = {417--434},
volume = {66},
year = {2006},
date-added = {2010-01-10 11:33:25 +0100},
date-modified = {2010-08-22 20:58:04 +0200},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2086},
rating = {0}
}

@article{Wicherts:2010p5615,
author = {J M Wicherts and D Borsboom and C V Dolan},
journal = {Personality and Individual Differences},
title = {Why national IQs do not support evolutionary theories of intelligence},
abstract = {Kanazawa (2008), Templer (2008), and Templer and Arikawa (2006) claimed to have found empirical support for evolutionary theories of race differences in intelligence by correlating estimates of national IQ with indicators of reproductive strategies, temperature, and geographic distance from Africa. In this paper we criticize these studies on methodological, climatic, and historical grounds. We show that these studies assume that the Flynn Effect is either nonexistent or invariant with respect to different regions of the world, that there have been no migrations and climatic changes over the course of evolution, and that there have been no trends over the last century in indicators of reproductive strategies (e.g., declines in fertility and infant mortality). In addition, we show that national IQs are strongly confounded with the current developmental status of countries. National IQs correlate with all the variables that have been suggested to have caused the Flynn Effect in the developed world.},
pages = {91--96},
volume = {48},
year = {2010},
date-added = {2010-02-12 15:50:51 +0100},
date-modified = {2010-02-12 15:51:44 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Wicherts-2010-Personality%20and%20Individual%20Differences_Why%20national%20IQs%20do.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5615},
rating = {0}
}

@article{Hardouin:2007a,
author = {Jean-Benoit Hardouin},
journal = {Journal of Statistical Software},
title = {Non parametric item response theory with SAS and Stata},
year = {2007},
date-added = {2010-01-10 11:33:22 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hardouin-2007-Journal%20of%20Statistical%20Software_Non%20parametric%20item.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2228},
rating = {0}
}

@article{Eriksson:2010p13488,
author = {Nicholas Eriksson and J Michael Macpherson and Joyce Y Tung and Lawrence S Hon and Brian Naughton and Serge Saxonov and Linda Avey and Anne Wojcicki and Itsik Pe'er and Joanna Mountain},
journal = {PLoS Genet},
title = {Web-based, participant-driven studies yield novel genetic associations for common traits},
abstract = {Despite the recent rapid growth in genome-wide data, much of human variation remains entirely unexplained. A significant challenge in the pursuit of the genetic basis for variation in common human traits is the efficient, coordinated collection of genotype and phenotype data. We have developed a novel research framework that facilitates the parallel study of a wide assortment of traits within a single cohort. The approach takes advantage of the interactivity of the Web both to gather data and to present genetic information to research participants, while taking care to correct for the population structure inherent to this study design. Here we report initial results from a participant-driven study of 22 traits. Replications of associations (in the genes OCA2, HERC2, SLC45A2, SLC24A4, IRF4, TYR, TYRP1, ASIP, and MC1R) for hair color, eye color, and freckling validate the Web-based, self-reporting paradigm. The identification of novel associations for hair morphology (rs17646946, near TCHH; rs7349332, near WNT10A; and rs1556547, near OFCC1), freckling (rs2153271, in BNC2), the ability to smell the methanethiol produced after eating asparagus (rs4481887, near OR2M7), and photic sneeze reflex (rs10427255, near ZEB2, and rs11856995, near NR2F2) illustrates the power of the approach.},
affiliation = {23andMe, Mountain View, California, United States of America. nick@23andme.com},
number = {6},
pages = {e1000993},
volume = {6},
year = {2010},
month = {Jan},
language = {eng},
date-added = {2010-07-01 22:22:45 +0200},
date-modified = {2010-07-01 22:22:50 +0200},
doi = {10.1371/journal.pgen.1000993},
pmid = {20585627},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Eriksson-2010-PLoS%20Genet_Web-based%20participa.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13488},
rating = {3}
}

@article{Kakade:2010p1550,
author = {S M Kakade and D P Foster},
title = {Multi-View Regression via Canonical Correlation Analysis},
abstract = {In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be par- titioned into two different views, where it is assumed that either view of the input is sufficient to make accurate predictions --- this is essen- tially (a significantly weaker version of) the co-training assumption for the regression problem.
We provide a semi-supervised algorithm which first uses unlabeled data to learn a norm (or, equivalently, a kernel) and then uses labeled data in a ridge regression algorithm (with this induced norm) to provide the predictor. The unlabeled data is used via canonical correlation analysis (CCA, which is a closely related to PCA for two random variables) to derive an appropriate norm over functions. We are able to character- ize the intrinsic dimensionality of the subsequent ridge regression prob- lem (which uses this norm) by the correlation coefficients provided by CCA in a rather simple expression. Interestingly, the norm used by the ridge regression algorithm is derived from CCA, unlike in standard ker- nel methods where a special apriori norm is assumed (i.e. a Banach space is assumed). We discuss how this result shows that unlabeled data can decrease the sample complexity.},
date-added = {2010-01-07 16:35:22 +0100},
date-modified = {2010-07-11 09:51:30 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kakade--_Multi-View%20Regressio.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1550},
rating = {4}
}

@article{Orlando:2003p2694,
author = {M Orlando and D Thissen},
journal = {Applied Psychological Measurement},
title = {Further Investigation of the Performance of S-X2: An Item Fit Index for Use With Dichotomous Item Response Theory Models},
abstract = {This study presents new findings on the utility of S − X2 as an item fit index for dichotomous item response theory models. Results are based on a simulation study in which item responses were generated and calibrated for 100 tests under each of 27 conditions. The item fit indices S − X2 and Q1 − X2 were calculated for each item. ROC curves were constructed based on the hit and false alarm rates of the two indices. Examination of these curves indicated that in general, the performance of S − X2 improved with test length and sample size. The performance of S − X2 was superior to that of Q1 − X2 under most but not all conditions. Results from this study imply that
S − X2 may be a useful tool in detecting the misfit of one item contained in an otherwise well-fitted test, lending additional support to the utility of the index for use with dichotomous item response theory models.},
number = {4},
pages = {289--298},
volume = {27},
year = {2003},
date-added = {2010-01-13 10:13:19 +0100},
date-modified = {2010-07-29 19:16:53 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Orlando-2003-Applied%20Psychological%20Measurement_Further%20Investigatio.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2694},
rating = {0}
}

@article{Trull:1997p8316,
author = {T J Trull and D C Geary},
journal = {J Pers Assess},
title = {Comparison of the big-five factor structure across samples of Chinese and American adults},
abstract = {We compared the factor structure of Goldberg's (1992) 50-item Bipolar Rating Scale (50-BRS) in samples of Chinese (n = 198) and American (n = 303) students. Results confirmed the hypothesized five-factor pattern for the U.S. sample, and a simultaneous multisample confirmatory factor analysis showed that the same five-factor pattern fit the item covariances in the Chinese sample. High levels of internal consistency were found within each sample, and a high degree of congruency of corresponding item factor loadings was obtained across samples. Overall, results supported the potential utility of the Five-Factor Model and the 50-BRS for assessing personality dimensions in Chinese culture.},
affiliation = {Department of Psychology, University of Missouri-Columbia, USA.},
number = {2},
pages = {324--41},
volume = {69},
year = {1997},
month = {Oct},
language = {eng},
keywords = {Models: Statistical, Humans, Psychometrics, Adult, United States, Students, Ethnic Groups, Personality Inventory, Personality Assessment, Personality Disorders, Male, Reproducibility of Results, Adolescent, Female, China, Observer Variation, Cross-Cultural Comparison},
date-added = {2010-03-20 20:11:33 +0100},
date-modified = {2010-03-20 20:11:35 +0100},
pmid = {9392894},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8316},
rating = {5}
}

@article{Hampshire:2010p11857,
author = {Adam Hampshire and Samuel R Chamberlain and Martin M Monti and John Duncan and Adrian M Owen},
journal = {Neuroimage},
title = {The role of the right inferior frontal gyrus: inhibition and attentional control},
abstract = {There is growing interest regarding the role of the right inferior frontal gyrus (RIFG) during a particular form of executive control referred to as response inhibition. However, tasks used to examine neural activity at the point of response inhibition have rarely controlled for the potentially confounding effects of attentional demand. In particular, it is unclear whether the RIFG is specifically involved in inhibitory control, or is involved more generally in the detection of salient or task relevant cues. The current fMRI study sought to clarify the role of the RIFG in executive control by holding the stimulus conditions of one of the most popular response inhibition tasks-the Stop Signal Task-constant, whilst varying the response that was required on reception of the stop signal cue. Our results reveal that the RIFG is recruited when important cues are detected, regardless of whether that detection is followed by the inhibition of a motor response, the generation of a motor response, or no external response at all.},
affiliation = {Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK. adam.hampshire@mrc-cbu.cam.ac.uk},
number = {3},
pages = {1313--9},
volume = {50},
year = {2010},
month = {Apr},
language = {eng},
date-added = {2010-05-23 11:43:38 +0200},
date-modified = {2010-05-23 11:43:38 +0200},
doi = {10.1016/j.neuroimage.2009.12.109},
pii = {S1053-8119(09)01398-6},
pmid = {20056157},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hampshire-2010-Neuroimage_The%20role%20of%20the%20righ.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11857},
rating = {0}
}

@article{Shimizu:2009p1816,
author = {Shohei Shimizu and Takashi Washio and Aapo Hyvarinen and Seiya Imoto},
journal = {arXiv},
title = {Finding Exogenous Variables in Data with Many More Variables than  Observations},
abstract = { Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations (p<n, p: the number of variables and n: the number of observations). However, modern datasets including gene expression data need high-dimensional causal modeling in challenging situations with orders of magnitude more variables than observations (p>>n). In this paper, we propose a method to find exogenous variables in a linear non-Gaussian causal model, which requires much smaller sample sizes than conventional methods and works even when p>>n. The key idea is to identify which variables are exogenous based on non-Gaussianity instead of estimating the entire structure of the model. Exogenous variables work as triggers that activate a causal chain in the model, and their identification leads to more efficient experimental designs and better understanding of the causal mechanism. We present experiments with artificial data and real-world gene expression data to evaluate the method. },
note = {13 pages, 1 igure},
eprint = {0904.0838v1},
volume = {stat.ML},
year = {2009},
month = {Jan},
keywords = {stat.ML},
date-added = {2010-01-09 22:50:53 +0100},
date-modified = {2010-01-09 22:50:53 +0100},
pmid = {0904.0838v1},
URL = {http://arxiv.org/abs/0904.0838v1},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Shimizu-2009-arXiv_Finding%20Exogenous%20Va.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1816},
rating = {0}
}

@misc{Montanari:2000,
author = {A Montanari and D G Calo and C Viroli},
journal = {Miscellaneous},
title = {Independent Factor Discriminant Analysis},
year = {2000},
date-added = {2010-01-10 11:33:20 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Montanari-2000-Miscellaneous_Independent%20Factor%20D.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2020},
rating = {0}
}

@article{Elatki:2000p7858,
author = {S Elatki},
journal = {Neuropsychiatrie:TendancesetD{\'e}bats},
title = {Episode d{\'e}pressif majeur du post-partum},
pages = {35--39},
volume = {8},
year = {2000},
date-added = {2010-03-18 21:07:45 +0100},
date-modified = {2010-03-18 21:08:27 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Elatki-2000-NeuropsychiatrieTendancesetDe%CC%81bats_Episode%20de%CC%81pressif%20m.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7858},
rating = {0}
}

@article{Kwee:2008p3292,
author = {Lydia Coulter Kwee and Dawei Liu and Xihong Lin and Debashis Ghosh and Michael P Epstein},
journal = {American Journal of Human Genetics},
title = {A powerful and flexible multilocus association test for quantitative traits},
abstract = {Association mapping of complex traits typically employs tagSNP genotype data to identify a trait locus within a region of interest. However, considerable debate exists regarding the most powerful strategy for utilizing such tagSNP data for inference. A popular approach tests each tagSNP within the region individually, but such tests could lose power as a result of incomplete linkage disequilibrium between the genotyped tagSNP and the trait locus. Alternatively, one can jointly test all tagSNPs simultaneously within the region (by using genotypes or haplotypes), but such multivariate tests have large degrees of freedom that can also compromise power. Here, we consider a semiparametric model for quantitative-trait mapping that uses genetic information from multiple tagSNPs simultaneously in analysis but produces a test statistic with reduced degrees of freedom compared to existing multivariate approaches. We fit this model by using a dimension-reducing technique called least-squares kernel machines, which we show is identical to analysis using a specific linear mixed model (which we can fit by using standard software packages like SAS and R). Using simulated SNP data based on real data from the International HapMap Project, we demonstrate that our approach often has superior performance for association mapping of quantitative traits compared to the popular approach of single-tagSNP testing. Our approach is also flexible, because it allows easy modeling of covariates and, if interest exists, high-dimensional interactions among tagSNPs and environmental predictors.},
affiliation = {Department of Biostatistics, Emory University, Atlanta, GA 30322, USA.},
number = {2},
pages = {386--97},
volume = {82},
year = {2008},
month = {Feb},
language = {eng},
keywords = {Quantitative Trait Loci, Chromosome Mapping, Models: Genetic, Computer Simulation, Polymorphism: Single Nucleotide, Quantitative Trait: Heritable},
date-added = {2010-01-14 21:23:16 +0100},
date-modified = {2010-01-14 21:23:16 +0100},
doi = {10.1016/j.ajhg.2007.10.010},
pii = {S0002-9297(08)00088-8},
pmid = {18252219},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kwee-2008-American%20Journal%20of%20Human%20Genetics_A%20powerful%20and%20flexi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3292},
rating = {0}
}

@article{Borgers:2001p13825,
author = {N Borgers and J J Hox},
title = {Reliability of responses in quesitonnaire research with children},
year = {2001},
date-added = {2010-07-29 17:02:00 +0200},
date-modified = {2010-07-29 17:02:51 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Borgers-2001-_Reliability%20of%20respo.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13825},
rating = {0}
}

@article{Janssen:1999p12900,
author = {R Janssen and Paul De Boeck},
journal = {Multivariate Behavioral Research},
title = {Confirmatory Analyses of Componential Test Structure Using Multidimensional Item Response Theory},
abstract = {The componential structure of synonym tasks is investigated using confirmatory multidimensional two-parameter IRT models. It was hypothesized that an open synonym task is decomposable into generating synonym candidates and evaluating these candidate words with respect to their synonymy with the stimulus word. Two subtasks were constructed to identify these two components. Different confirmatory models were estimated both with TESTMAP and with NOHARM. The componential hypothesis was supported, but it was found that the generation subtask also involved some evaluation and that generation and evaluation were highly correlated.},
number = {2},
pages = {245--268},
volume = {34},
year = {1999},
date-added = {2010-06-24 14:02:53 +0200},
date-modified = {2010-07-29 20:46:12 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Janssen-1999-Multivariate%20Behavioral%20Research_Confirmatory%20Analyse-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12900},
rating = {0}
}

@article{Verstralen:1998aa,
author = {H H F M Verstralen},
title = {A Latent IRT Model for Options of Multiple Choice Items},
abstract = {A latent IRT model for the analysis of multiple choice questions is proposed. The incorrect options of an item are associated with a decreasing logistic function that models the probability of being judged correct. It is assumed that the correct option is always recognized as such. According to the model a subject selects randomly from the subset of options considered correct. Like its companion treated in Verstralen (1997) the model can be viewed as a generalization of Nedelsky's (1954) method to determine a pass/fail score. With this other model it has in common that the ML latent variable estimator gains some precision compared to binary scoring. Both models also share some other favorable psychometric properties.},
year = {1998},
month = {Sep},
date-added = {2010-01-03 19:39:02 +0100},
date-modified = {2010-01-03 19:39:03 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Verstralen-1998-_A%20Latent%20IRT%20Model%20f.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1193},
rating = {0}
}

@article{Medland:2002p1851,
author = {S E Medland and G Geffen and K McFarland},
journal = {Neuropsychologia},
title = {Lateralization of speech production using verbal/manual dual tasks: meta-analysis of sex differences and practice effects},
abstract = {The present paper reviews the findings of 30 years of verbal/manual dual task studies, the method most commonly used to assess lateralization of speech production in non-clinical samples. Meta-analysis of 64 results revealed that both the type of manual task used and the nature of practice that is given influence the size of the laterality effect. A meta-analysis of 36 results examining the effect size of sex differences in estimates of lateralization of speech production indicated that males appear to show slightly larger laterality effects than females.},
affiliation = {Cognitive Psychophysiology Laboratory, School of Psychology, University of Queensland and Queensland Health, Edith Caval Building, Herston, Brisbane, Australia.},
number = {8},
pages = {1233--9},
volume = {40},
year = {2002},
month = {Jan},
language = {eng},
keywords = {Dominance: Cerebral, Female, Verbal Behavior, Attention, Practice (Psychology), Sex Factors, Humans, Psychomotor Performance, Neuropsychological Tests, Male},
date-added = {2010-01-10 11:28:14 +0100},
date-modified = {2010-01-10 11:28:14 +0100},
pii = {S0028393201002287},
pmid = {11931926},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Medland-2002-Neuropsychologia_Lateralization%20of%20sp.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1851},
rating = {0}
}

@article{Glas:2009p1824,
author = {Cees A W Glas and Hanneke Geerlings and Mart A F J van de Laar and Erik Taal},
journal = {Contemporary clinical trials},
title = {Analysis of longitudinal randomized clinical trials using item response models},
abstract = {Patient-relevant outcomes, such as impairments, disability and health-related quality of life, are becoming increasingly popular as outcome measures in clinical research. These outcomes are generally assessed using questionnaires. In a longitudinal randomized clinical trial where the outcome is measured by a questionnaire or some other instrument consisting of a set of discretely scored items, treatment effects can be analyzed using item response theory. The problem addressed is how to take the estimation error in the estimates of the latent outcome variables into account in the estimation of the treatment effects. Three approaches are compared: plausible value imputation (PVI), concurrent marginal maximum likelihood (MML) estimation and a limited information two-step marginal maximum likelihood method. The results show that the power of the former two methods to detect small and moderate effect sizes is considerably larger than the power of the latter approach. An additional advantage of the PVI method as compared to MML is that the treatment effects can be estimated with standard software. An example using data from a longitudinal randomized clinical trial illustrates the use of the methods in a practical setting. It is shown that even when responses on different sets of items for different groups of patients are used for the data analysis, the power to detect the experimental effects is comparable to the power obtained when responses to all items for all patients are used in the analysis. This creates considerable flexibility in the design and use of measures in experiments.},
affiliation = {University of Twente, The Netherlands. c.a.w.glas@gw.utwente.nl},
number = {2},
pages = {158--70},
volume = {30},
year = {2009},
month = {Mar},
language = {eng},
date-added = {2010-01-09 22:59:49 +0100},
date-modified = {2010-01-09 22:59:49 +0100},
doi = {10.1016/j.cct.2008.12.003},
pii = {S1551-7144(08)00153-5},
pmid = {19146991},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1824},
rating = {0}
}

@article{Kahler:2003p7348,
author = {Christopher W Kahler and David R Strong and Jumi Hayaki and Susan E Ramsey and Richard A Brown},
journal = {J Stud Alcohol},
title = {An item response analysis of the Alcohol Dependence Scale in treatment-seeking alcoholics},
abstract = {OBJECTIVE: In this study we use methods based on Item Response Theory to examine in depth the psychometric properties of the Alcohol Dependence Scale (ADS). In particular, we examine the ability of each ADS item to discriminate among individuals across the continuum of alcohol dependence severity and also examine the extent to which item-response options provide useful and reliable information about the level of alcohol dependence. METHOD: Participants were 166 alcohol-dependent patients with elevated depressive symptoms. We conducted a maximum likelihood common factors analysis on the ADS, and then used a nonparametric kernel smoothing method to create Item Characteristic Curves (ICC) and Option Characteristic Curves (OCC) for each ADS item. On the basis of these curves, we identified items showing at least fair discrimination and modified the scoring of response options where indicated. We then created an empirically derived ADS score and correlated it with the original ADS and with other measures of alcohol involvement. RESULTS: Replicating previous studies, our results indicated a primarily unidimensional factor structure. A total of 12 of the 25 ADS items showed good discrimination, and examination of the OCC indicated that dichotomous scoring was most appropriate for these items. This 12-item abbreviation of the ADS was highly correlated with the original scale (r = 0.91), and showed similar patterns of correlations with other measures of alcohol involvement. CONCLUSIONS: Results suggest potential gains in measurement efficiency using methods based on Item Response Theory and indicate potential ordering of dependence symptoms based on item severities.},
affiliation = {Center for Alcohol and Addiction Studies, Brown University, Box G-BH, Providence, Rhode Island 02912, USA. Christopher_Kahler@brown.edu},
number = {1},
pages = {127--36},
volume = {64},
year = {2003},
month = {Jan},
language = {eng},
keywords = {Severity of Illness Index, Questionnaires, Demography, Female, Adult, Humans, Adolescent, Male, Patient Acceptance of Health Care, Factor Analysis: Statistical, Alcoholism, Middle Aged, Aged},
date-added = {2010-03-10 20:23:39 +0100},
date-modified = {2010-03-10 20:23:39 +0100},
pmid = {12608493},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7348},
rating = {0}
}

@article{Broccoli:2010p12793,
author = {S Broccoli and G Cavrini},
title = {A Bayesian IRT model for mixed responses and skew latent variable},
abstract = {The aim of this study is to formulate a flexible Item Response Theory (IRT) based model for mixed responses questionnaires and relaxing the hypothesis of normal distributed latent variable. The new model is a combination of two models already presented in literature, that is, a latent trait model for mixed responses and an IRT model for Skew Normal latent variable. It is developed in a Bayesian framework, a Markov chain Monte Carlo procedure is used to generate samples of the posterior distribution of the parameters of interest. The proposed model is test on a questionnaire composed by 5 discrete items and one continuous to measure HRQoL in children, the EQ-5D-Y questionnaire. A large sample of children collected in the schools was used. In comparison with a model for only discrete responses and a model for mixed responses and normal latent variable, the new model has better performances, in term of deviance information criterion (DIC), chain convergences times and precision of the estimates.},
date-added = {2010-06-18 21:13:56 +0200},
date-modified = {2010-06-18 21:14:52 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Broccoli--_A%20Bayesian%20IRT%20model.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12793},
rating = {3}
}

@article{Milfont:2010p13803,
author = {T L Milfont and R Fischer},
journal = {International Journal of Psychological Research},
title = {Testing measurement invariance across groups: Applications in cross-cultural research},
number = {1},
pages = {112--131},
volume = {3},
year = {2010},
date-added = {2010-07-29 12:18:37 +0200},
date-modified = {2010-07-29 12:19:59 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Milfont-2010-International%20Journal%20of%20Psychological%20Research_Testing%20measurement.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13803},
rating = {0}
}

@article{Green:2008p12974,
author = {D Green and M E Chambers and D A Sugden},
journal = {Human Movement Science},
title = {Does subtype of developmental coordination disorder count: is there a differential effect on outcome following intervention?},
abstract = {It is well known that developmental coordination disorder (DCD) is a heterogeneous condition in which

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