text:
Alcoholism, Statistics as Topic, Schizophrenia, Aldehyde Dehydrogenase},
date-added = {2010-04-11 21:39:53 +0200},
date-modified = {2010-04-11 21:39:53 +0200},
pii = {hhe53036},
pmid = {11901269},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Zhao-2002-Hum%20Hered_Faster%20haplotype%20fre.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10913},
rating = {0}
}

@article{Meriaux:2006p12125,
author = {S{\'e}bastien M{\'e}riaux and Alexis Roche and Ghislaine Dehaene-Lambertz and Bertrand Thirion and Jean-Baptiste Poline},
journal = {Hum Brain Mapp},
title = {Combined permutation test and mixed-effect model for group average analysis in fMRI},
abstract = {In group average analyses, we generalize the classical one-sample t test to account for heterogeneous within-subject uncertainties associated with the estimated effects. Our test statistic is defined as the maximum likelihood ratio corresponding to a Gaussian mixed-effect model. The test's significance level is calibrated using the same sign permutation framework as in Holmes et al., allowing for exact specificity control under a mild symmetry assumption about the subjects' distribution. Because our likelihood ratio test does not rely on homoscedasticity, it is potentially more sensitive than both the standard t test and its permutation-based version. We present results from the Functional Imaging Analysis Contest 2005 dataset to support this claim.},
affiliation = {CEA, Service Hospitalier Fr{\'e}d{\'e}ric Joliot, Orsay, France.},
number = {5},
pages = {402--10},
volume = {27},
year = {2006},
month = {May},
language = {eng},
keywords = {Magnetic Resonance Imaging, Brain Mapping, Humans, Normal Distribution, Image Processing: Computer-Assisted, Cognition, Functional Laterality, Computer Simulation, Verbal Behavior, Brain, Speech Perception, Models: Statistical, Algorithms, Software Validation},
date-added = {2010-05-30 10:09:12 +0200},
date-modified = {2010-05-30 10:09:12 +0200},
doi = {10.1002/hbm.20251},
pmid = {16596617},
local-url = {file://localhost/Users/chl/Dropbox/Papers/M%C3%A9riaux-2006-Hum%20Brain%20Mapp_Combined%20permutation.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12125},
rating = {0}
}

@article{Foulkes:2003p4735,
author = {A S Foulkes and V De Gruttola},
journal = {JAMA},
title = {Characterizing the Progression of Viral Mutations Over Time},
abstract = {Development and spread of resistance of human immunode􏳸 ciency virus type 1 to antiretroviral therapies is a serious medical and public health concern. A wide variety of mutations have been identi􏳸 ed that either singly or in combination reduce the susceptibility of the virus to available therapies. This paper describes methods for understanding the genetic pathways that lead to high-level drug resistance under selective drug pressure, as well as for estimating the rates at which viral populations progress along these pathways. These methods can be used to determine whether the presence of certain mutations among drug-sensitive viruses predispose a patient under a particular treatment to develop patterns of mutations that confer high-level drug resistance. Our approach assumes that viral genotypes can be characterized as belonging to discrete states, de􏳸 ned by patterns of viral mutations, and considers two approaches to modeling the rates of transition between these states. The 􏳸 rst approach treats the state at a given time point as known, whereas the second treats this as a latent variable. We apply our methods to genetic sequences of viruses cloned from the plasma of 170 patients who participated in three phase II clinical studies of efavirenz combination therapy (DMP 266-003, -004, -005). Multiple viral clones are available from each plasma sample at each time of measurement, allowing for consideration of the effect of minority species on the evolution of the viral populations infecting patients; the availability of such information motivates the second analytic approach. The sequences can be found in the Stanford HIV RT and Protease Sequence Database.},
number = {464},
pages = {859--867},
volume = {98},
year = {2003},
date-added = {2010-01-30 16:21:43 +0100},
date-modified = {2010-07-29 20:01:34 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Foulkes-2003-JAMA_Characterizing%20the%20P.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4735},
rating = {0}
}

@article{Gratacos:2007p9022,
author = {M{\`o}nica Gratac{\`o}s and Juan R Gonz{\'a}lez and Josep M Mercader and Rafael de Cid and Mikel Urretavizcaya and Xavier Estivill},
journal = {Biol Psychiatry},
title = {Brain-derived neurotrophic factor Val66Met and psychiatric disorders: meta-analysis of case-control studies confirm association to substance-related disorders, eating disorders, and schizophrenia},
abstract = {BACKGROUND: There is an increasing recognition that the pathophysiology of mental disorders could be the result of deregulation of synaptic plasticity with alterations of neurotrophins. The valine (Val)66-to-methionine (Met) variant, located in the pro brain-derived neurotrophic factor (BDNF) sequence, has been extensively studied through linkage and association approaches in several psychiatric disorders. METHODS: We performed a meta-analysis restricted to individual case-control studies in different categories of mental disorders and BDNF Val66Met polymorphism. We included data from 39 case-control studies encompassing psychiatric phenotypes: eating disorders, substance-related disorders, mood disorders, and schizophrenia, among others. RESULTS: The association of Val66Met was confined to three diagnoses: substance-related disorders, eating disorders, and schizophrenia. The Val/Met and the Met/Met genotypes increase the risk for eating disorders up to 33%, while these same genotypes confer a 21% protective effect in substance-related disorders. The homozygous carriers Met/Met showed a 19% increased risk of schizophrenia with respect to the heterozygous state. CONCLUSIONS: The study confirms the association of Val66Met to substance-related disorders, eating disorders, and schizophrenia. It remains to be determined if other variants in tight linkage disequilibrium with Val66Met could configure an extended functional haplotype that would explain observed discrepancies in risk estimations across studies.},
affiliation = {Genes and Disease Program, Center for Genomic Regulation (CRG), Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain.},
number = {7},
pages = {911--22},
volume = {61},
year = {2007},
month = {Apr},
language = {eng},
keywords = {Valine, Aged: 80 and over, Adult, Substance-Related Disorders, Brain-Derived Neurotrophic Factor, Male, Schizophrenia, Polymorphism: Genetic, Case-Control Studies, Aged, Eating Disorders, Middle Aged, Methionine, Genetic Predisposition to Disease, Female, Humans, Mental Disorders},
date-added = {2010-03-22 13:14:53 +0100},
date-modified = {2010-03-22 13:14:53 +0100},
doi = {10.1016/j.biopsych.2006.08.025},
pii = {S0006-3223(06)01072-9},
pmid = {17217930},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Gratac%C3%B2s-2007-Biol%20Psychiatry_Brain-derived%20neurot.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9022},
rating = {0}
}

@article{Patton:1996,
author = {GC Patton and M Hibbert and MJ Rosier and JB Carlin and J Caust and G Bowes},
journal = {Am J Public Health},
title = {Is smoking associated with depression and anxiety in teenagers?},
abstract = {OBJECTIVES. An association of smoking with depression and anxiety has been documented in adult smokers. This study examines this association in a representative group of teenage smokers. METHODS. A two-stage cluster sample of secondary school students in Victoria, Australia, were surveyed by using a computerized questionnaire, which included a 7-day retrospective diary for tobacco use and a structured psychiatric interview. RESULTS. Subjects reporting high levels of depression and anxiety were twice as likely to be smokers after the potential confounders of year level, sex, alcohol use, and parental smoking were controlled for. Regular smokers were almost twice as likely as occasional smokers to report high levels of depression and anxiety. In a stratified analysis, an association between regular smoking and psychiatric morbidity was found in girls of all ages but for boys only in the youngest group. CONCLUSIONS. The cross-sectional association is consistent with the use of smoking by teenage girls as self-medication for depression and anxiety. Therefore, future health promotional campaigns might consider strategies that attend to perceived psychological benefits of smoking.},
number = {2},
pages = {225--230},
volume = {86},
year = {1996},
date-added = {2010-01-03 19:36:09 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1055},
rating = {0}
}

@article{Wittchen:1989,
author = {HU Wittchen and JD Burke and G ad Pfister Semler and M Von Cranach and M Zaudig},
journal = {Arch Gen Psychiatry},
title = {Recall and dating of psychiatric symptoms. Test-retest reliability of time-related symptom questions in a standardized psychiatric interview},
abstract = {The advent of more explicit diagnostic criteria and the growing interest in "lifetime" rates of mental disorders has made imperative an accurate determination of time-related diagnostic criteria. We used data from two independent test-retest studies of the Diagnostic Interview Schedule (DIS) and the Composite International Diagnostic Interview (CIDI) to study the reliability of different time-related questions in these fully standardized diagnostic interviews. With two exceptions (anxiety disorders and alcohol-related questions), the test-retest reliability of most time-related questions in both interviews was judged to be satisfactorily high. Furthermore, the validity of time-related questions in the DIS (age at symptom onset, duration and frequency of illness episodes) was examined by comparing them with detailed "consensus" ratings done independently by different clinicians for 207 former psychiatric inpatients. A surprisingly high concordance was found for former psychotic patients except for those still severely disturbed at the follow-up investigation. Some severe restrictions were also found for nonpsychotic disorders with regard to judgment of the age at onset of phobias, panic attacks, and depression. For a more valid assessment of time-related symptom information, the use of specific memory aids is suggested.},
number = {5},
pages = {437--443},
volume = {46},
year = {1989},
date-added = {2010-01-03 19:36:09 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1090},
rating = {0}
}

@article{Wei:2009p2388,
author = {Zhi Wei and Wenguang Sun and Kai Wang and Hakon Hakonarson},
journal = {Bioinformatics},
title = {Multiple testing in genome-wide association studies via hidden Markov models},
abstract = {MOTIVATION: Genome-wide association studies (GWAS) interrogate common genetic variation across the entire human genome in an unbiased manner and hold promise in identifying genetic variants with moderate or weak effect sizes. However, conventional testing procedures, which are mostly P-value based, ignore the dependency and therefore suffer from loss of efficiency. The goal of this article is to exploit the dependency information among adjacent single nucleotide polymorphisms (SNPs) to improve the screening efficiency in GWAS. RESULTS: We propose to model the linear block dependency in the SNP data using hidden Markov models (HMMs). A compound decision-theoretic framework for testing HMM-dependent hypotheses is developed. We propose a powerful data-driven procedure [pooled local index of significance (PLIS)] that controls the false discovery rate (FDR) at the nominal level. PLIS is shown to be optimal in the sense that it has the smallest false negative rate (FNR) among all valid FDR procedures. By re-ranking significance for all SNPs with dependency considered, PLIS gains higher power than conventional P-value based methods. Simulation results demonstrate that PLIS dominates conventional FDR procedures in detecting disease-associated SNPs. Our method is applied to analysis of the SNP data from a GWAS of type 1 diabetes. Compared with the Benjamini-Hochberg (BH) procedure, PLIS yields more accurate results and has better reproducibility of findings. Conclusion: The genomic rankings based on our procedure are substantially different from the rankings based on the P-values. By integrating information from adjacent locations, the PLIS rankings benefit from the increased signal-to-noise ratio, hence our procedure often has higher statistical power and better reproducibility. It provides a promising direction in large-scale GWAS. AVAILABILITY: An R package PLIS has been developed to implement the PLIS procedure. Source codes are available upon request and will be available on CRAN (http://cran.r-project.org/). CONTACT: zhiwei@njit.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.},
affiliation = {Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA. zhiwei@njit.edu},
number = {21},
pages = {2802--8},
volume = {25},
year = {2009},
month = {Nov},
language = {eng},
date-added = {2010-01-11 19:51:07 +0100},
date-modified = {2010-01-11 19:51:07 +0100},
doi = {10.1093/bioinformatics/btp476},
pii = {btp476},
pmid = {19654115},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2388},
rating = {0}
}

@article{Zupan:2003p1841,
author = {Blaz Zupan and Ivan Bratko and Janez Demsar and Peter Juvan and Tomaz Curk and Urban Borstnik and J Robert Beck and John Halter and Adam Kuspa and Gad Shaulsky},
journal = {Artif Intell Med},
title = {GenePath: a system for inference of genetic networks and proposal of genetic experiments},
abstract = {A genetic network is a formalism that is often used in biology to represent causalities and reason about biological phenomena related to genetic regulation. We present GenePath, a computer-based system that supports the inference of genetic networks from a set of genetic experiments. Implemented in Prolog, GenePath uses abductive inference to elucidate network constraints based on background knowledge and experimental results. Additionally, it can propose genetic experiments that may further refine the discovered network and establish relations between genes that could not be related based on the original experimental data. We illustrate GenePath's approach and utility on analysis of data on aggregation and sporulation of the soil amoeba Dictyostelium discoideum.},
affiliation = {Faculty of Computer and Information Science, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia. blaz.zupan@fri.uni-lj.si},
number = {1-2},
pages = {107--30},
volume = {29},
year = {2003},
month = {Jan},
language = {eng},
keywords = {Neural Networks (Computer), Knowledge, Gene Expression Regulation, Dictyostelium, Humans, Research, Genomics, DNA, Animals},
date-added = {2010-01-10 10:36:07 +0100},
date-modified = {2010-01-10 10:36:07 +0100},
pii = {S0933365703000484},
pmid = {12957783},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Zupan-2003-Artif%20Intell%20Med_GenePath%20a%20system%20f.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1841},
rating = {0}
}

@article{Abdi:2003p12856,
author = {Herv{\'e} Abdi},
title = {Multivariate Analysis},
year = {2003},
date-added = {2010-06-22 08:13:50 +0200},
date-modified = {2010-07-29 20:14:08 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Abdi-2003-_Multivariate%20Analysi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12856},
rating = {0}
}

@article{Saccone:2008p3097,
author = {Nancy L Saccone and Scott F Saccone and Alison M Goate and Richard A Grucza and Anthony L Hinrichs and John P Rice and Laura J Bierut},
journal = {BMC Genet},
title = {In search of causal variants: refining disease association signals using cross-population contrasts},
abstract = {BACKGROUND: Genome-wide association (GWA) using large numbers of single nucleotide polymorphisms (SNPs) is now a powerful, state-of-the-art approach to mapping human disease genes. When a GWA study detects association between a SNP and the disease, this signal usually represents association with a set of several highly correlated SNPs in strong linkage disequilibrium. The challenge we address is to distinguish among these correlated loci to highlight potential functional variants and prioritize them for follow-up. RESULTS: We implemented a systematic method for testing association across diverse population samples having differing histories and LD patterns, using a logistic regression framework. The hypothesis is that important underlying biological mechanisms are shared across human populations, and we can filter correlated variants by testing for heterogeneity of genetic effects in different population samples. This approach formalizes the descriptive comparison of p-values that has typified similar cross-population fine-mapping studies to date. We applied this method to correlated SNPs in the cholinergic nicotinic receptor gene cluster CHRNA5-CHRNA3-CHRNB4, in a case-control study of cocaine dependence composed of 504 European-American and 583 African-American samples. Of the 10 SNPs genotyped in the r2 > or = 0.8 bin for rs16969968, three demonstrated significant cross-population heterogeneity and are filtered from priority follow-up; the remaining SNPs include rs16969968 (heterogeneity p = 0.75). Though the power to filter out rs16969968 is reduced due to the difference in allele frequency in the two groups, the results nevertheless focus attention on a smaller group of SNPs that includes the non-synonymous SNP rs16969968, which retains a similar effect size (odds ratio) across both population samples. CONCLUSION: Filtering out SNPs that demonstrate cross-population heterogeneity enriches for variants more likely to be important and causative. Our approach provides an important and effective tool to help interpret results from the many GWA studies now underway.},
affiliation = {Department of Genetics, Washington University, Campus Box 8232, 4566 Scott Avenue, Saint Louis, Missouri, USA. nlims@wustl.edu},
pages = {58},
volume = {9},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Chromosome Mapping, Humans, Genetics: Population, Case-Control Studies, Nerve Tissue Proteins, Population Groups, Polymorphism: Single Nucleotide, Genetic Predisposition to Disease, Receptors: Nicotinic, Female, Linkage Disequilibrium, African Americans, Gene Frequency, Cocaine-Related Disorders, European Continental Ancestry Group, Male, Quantitative Trait Loci},
date-added = {2010-01-14 20:18:57 +0100},
date-modified = {2010-01-14 20:18:57 +0100},
doi = {10.1186/1471-2156-9-58},
pii = {1471-2156-9-58},
pmid = {18759969},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3097},
rating = {0}
}

@article{Austin:2010p6528,
author = {Peter C Austin},
journal = {Journal of Clinical Epidemiology},
title = {Different measures of treatment effect for different research questions},
affiliation = {Institute for Clinical Evaluative Sciences, Toronto, Ontario M4N 3M5, Canada. peter.austin@ices.on.ca},
number = {1},
pages = {9--10},
volume = {63},
year = {2010},
month = {Jan},
language = {eng},
date-added = {2010-02-24 20:36:17 +0100},
date-modified = {2010-02-24 20:36:18 +0100},
doi = {10.1016/j.jclinepi.2009.07.006},
pii = {S0895-4356(09)00213-3},
pmid = {19837563},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Austin-2010-Journal%20of%20Clinical%20Epidemiology_Different%20measures%20o.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6528},
rating = {0}
}

@article{Miller:2010p13755,
author = {T Miller and S Chahine and R A Childs},
journal = {Practical Assessment Research {\&} Evaluation},
title = {Detecting Differential Item Functioning and Differential Step Functioning Due to Differences that Should Matter},
abstract = {This study illustrates the use of differential item functioning (DIF) and differential step functioning (DSF) analyses to detect differences in item difficulty that are related to experiences of examinees, such as their teachers' instructional practices, that are relevant to the knowledge, skill, or ability the test is intended to measure. This analysis is in contrast to the typical use of DIF or DSF to detect differences related to characteristics of examinees, such as gender, language, or cultural knowledge, that should be irrelevant. Using data from two forms of Ontario's Grade 9 Assessment of Mathematics, analyses were performed comparing groups of students defined by their teachers' instructional practices. All constructed-response items were tested for DIF using the Mantel Chi-Square, standardized Liu Agresti cumulative common log-odds ratio, and standardized Cox's noncentrality parameter. Items exhibiting moderate to large DIF were subsequently tested for DSF. In contrast to typical DIF or DSF analyses, which inform item development, these analyses have the potential to inform instructional practice.},
number = {10},
volume = {15},
year = {2010},
date-added = {2010-07-24 12:47:07 +0200},
date-modified = {2010-07-29 19:44:42 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Miller-2010-Practical%20Assessment%20Research%20%20&%20Evaluation_Detecting%20Differenti.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13755},
rating = {0}
}

@article{Dawson:2010p4003,
author = {T E Dawson},
title = {Basic Concepts in Classical Test Theory: Relating Variance Partitioning in Substantive Analyses to the Same Process in Measurement Analyses},
abstract = {The basic processes in univariate statistics involve partitioning the sum of squares into two components: explained and within. The present paper explains that the same partitioning occurs in measurement analyses, i.e., splitting the sum of squares into reliable and unreliable components. In addition, it will be shown how the three types of error inherent in all statistical analyses (i.e., sampling error, model specification error, and measurement error) impact any analysis the researcher attempts. Also emphasized will be that tests are not reliable, rather scores have varying degrees of reliability.},
date-added = {2010-01-17 23:26:33 +0100},
date-modified = {2010-01-17 23:27:13 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Dawson--_Basic%20Concepts%20in%20Cl.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4003},
rating = {0}
}

@article{deLeeuw:1988p4262,
author = {Jan de Leeuw},
journal = {Proceedings of the In- ternational Conference on Advances in Multivariate Statistical Analysis},
title = {Multivariate analysis with optimal scaling},
abstract = {Suppose K1 , · · · , Km are convex cones in a Hilbert space H , with unit sphere S and inner product ⟨. | .⟩. For a particular choice of quantifications, transformations, or representations of a variable xj in Kj ∩ S we can compute the correlation matrix R(x1, · · · , xm) by the rule rij(x1,··· ,xm) = (xi | xj). Now suppose φ is a real-valued objective function, defined on the space of all correlation matrices. In this paper we study the class of techniques that choose the xj in their feasible re- gionsKj∩Sinsuchawaythatφ(R(x1,...,xm))ismaximized. Wediscuss typical cases, including linear and nonlinear principal component analy- sis, canonical correlation analysis, regression analysis. It is shown that correspondence analysis and the Breiman-Friedman ACE-methods are both special cases of this class of techniques. We discuss some choices for the cones Kj, and we indicate that the results simplify greatly if all bivariate regressions can be linearized. A class of iterative projection techniques is suggested, that produces convergent algorithms of simple structure.},
pages = {127--160},
year = {1988},
date-added = {2010-01-23 21:17:10 +0100},
date-modified = {2010-07-29 20:45:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/de%20Leeuw-1988-Proceedings%20of%20the%20In-%20ternational%20Conference%20on%20Advances%20in%20Multivariate%20Statistical%20Analysis_Multivariate%20analysi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4262},
rating = {0}
}

@article{Crosby:2004p8812,
author = {Ross D Crosby and Ronette L Kolotkin and G Rhys Williams},
journal = {Journal of Clinical Epidemiology},
title = {An integrated method to determine meaningful changes in health-related quality of life},
abstract = {OBJECTIVE: We describe an integrated method for determining meaningful change in health-related quality of life (HRQOL) that combines information from anchor-based and distribution-based methods and illustrate this method using data aggregated from weight loss studies. STUDY DESIGN AND SETTING: A total of 1476 participants in weight loss studies were evaluated at baseline and at 6 months using the Impact of Weight on Quality of Life-Lite (IWQOL-Lite). Severity of baseline impairment was determined by comparing scores with those obtained from a normative sample of 534 normal/overweight individuals. The precision of the IWQOL-Lite was evaluated using standard error of measurement corrected for regression to the mean. Weight loss was used as an anchor for evaluating changes in IWQOL-Lite scores. RESULTS: Change in HRQOL varied as a function of weight loss and baseline severity of HRQOL. Using this integrated method, an improvement of 7.7 to 12 points (depending on baseline severity) on IWQOL-Lite total score is considered meaningful. CONCLUSION: Meaningful change in HRQOL can be determined using an integrated method that (1) combines information from anchor-based and distribution-based methods, (2) reconciles discrepancies between these two methods, and (3) adjusts for baseline severity and regression to the mean. This method may be applied to other types of HRQOL measures and conditions.},
affiliation = {Neuropsychiatric Research Institute, 700 First Avenue South, Fargo, North Dakota 58107, USA. rcrosby@nrifargo.com},
number = {11},
pages = {1153--60},
volume = {57},
year = {2004},
month = {Nov},
language = {eng},
keywords = {Aged, Self Assessment (Psychology), Quality of Life, Data Interpretation: Statistical, Weight Loss, Middle Aged, Health Status, Male, Adult, Female, Humans},
date-added = {2010-03-22 12:12:33 +0100},
date-modified = {2010-03-22 12:12:33 +0100},
doi = {10.1016/j.jclinepi.2004.04.004},
pii = {S0895-4356(04)00112-X},
pmid = {15567631},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Crosby-2004-Journal%20of%20Clinical%20Epidemiology_An%20integrated%20method.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8812},
rating = {0}
}

@article{Ligtvoet:2010p6242,
author = {Ligtvoet},
title = {Latent Class Models for Testing Monotonicity and Invariant Item Ordering for Polytomous Items},
abstract = {Two assumptions that are relevant to many applications using item response theory (IRT) are the assumptions of monotonicity (M) and invariant item or- dering (IIO). An IRT model is proposed for ordinal items which implies M and IIO. This model is specified as a latent class model with inequality constraints on the class-specific item means. A Gibbs sampling scheme is used for estimat- ing the model parameters. It is shown that the deviance information criterium (DIC) can be used as an overall test of M and IIO, while posterior predictive checks can be used to test these assumptions at the item level. A real-data ap- plication illustrates a model fitting strategy for selecting an item set for which M and IIO holds.},
year = {2010},
date-added = {2010-02-19 21:18:47 +0100},
date-modified = {2010-02-19 21:19:21 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Ligtvoet-2010-_Latent%20Class%20Models.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6242},
rating = {0}
}

@article{LeCao:2008p1836,
author = {K A L{\^e} Cao},
title = {Outils statistiques pour la s{\'e}lection de variables et l'int{\'e}gration de donn{\'e}es ``omiques''},
year = {2008},
date-added = {2010-01-09 23:06:55 +0100},
date-modified = {2010-01-09 23:08:18 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/L%C3%AA%20Cao-2008-_Outils%20statistiques.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1836},
rating = {0}
}

@article{RobertGranie:2009p462,
author = {Christ{\`e}le Robert-Grani{\'e} and Kim-Anh L{\^e} Cao and Magali Sancristobal},
journal = {BMC Proc},
title = {Predicting qualitative phenotypes from microarray data - the Eadgene pig data set},
abstract = {BACKGROUND: The aim of this work was to study the performances of 2 predictive statistical tools on a data set that was given to all participants of the Eadgene-SABRE Post Analyses Working Group, namely the Pig data set of Hazard et al. (2008). The data consisted of 3686 gene expressions measured on 24 animals partitioned in 2 genotypes and 2 treatments. The objective was to find biomarkers that characterized the genotypes and the treatments in the whole set of genes. METHODS: We first considered the Random Forest approach that enables the selection of predictive variables. We then compared the classical Partial Least Squares regression (PLS) with a novel approach called sparse PLS, a variant of PLS that adapts lasso penalization and allows for the selection of a subset of variables. RESULTS: All methods performed well on this data set. The sparse PLS outperformed the PLS in terms of prediction performance and improved the interpretability of the results. CONCLUSION: We recommend the use of machine learning methods such as Random Forest and multivariate methods such as sparse PLS for prediction purposes. Both approaches are well adapted to transcriptomic data where the number of features is much greater than the number of individuals.},
affiliation = {INRA, UR631 Station d'Am{\'e}lioration G{\'e}n{\'e}tique des Animaux, F-31326 Castanet-Tolosan, France. christele.robert-granie@toulouse.inra.fr},
pages = {S13},
volume = {3 Suppl 4},
year = {2009},
month = {Jan},
language = {eng},
date-added = {2010-01-03 12:30:05 +0100},
date-modified = {2010-01-03 12:30:05 +0100},
doi = {10.1186/1753-6561-3-S4-S13},
pii = {1753-6561-3-S4-S13},
pmid = {19615113},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Robert-Grani%C3%A9-2009-BMC%20Proc_Predicting%20qualitati.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p462},
rating = {0}
}

@misc{Martin:2007,
author = {E San Martin and A Jara and J-M Rolin and M Mouchart},
journal = {Miscellaneous},
title = {On the analysis of bayesian semiparametric IRT-type models},
year = {2007},
month = {Feb},
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/Martin-2007-Miscellaneous_On%20the%20analysis%20of%20b.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2189},
rating = {0}
}

@article{Ellinghaus:2009p3967,
author = {David Ellinghaus and Stefan Schreiber and Andre Franke and Michael Nothnagel},
journal = {Hum Genomics},
title = {Current software for genotype imputation},
abstract = {Genotype imputation for single nucleotide polymorphisms (SNPs) has been shown to be a powerful means to include genetic markers in exploratory genetic association studies without having to genotype them, and is becoming a standard procedure. A number of different software programs are available. In our experience, user-friendliness is often the deciding factor in the choice of software to solve a particular task. We therefore evaluated the usability of three publicly available imputation programs: BEAGLE, IMPUTE and MACH. We found all three programs to perform well with HapMap reference data, with little effort needed for data preparation and subsequent association analysis. Each of them has different strengths and weaknesses, however, and none is optimal for all situations.},
affiliation = {Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany. d.ellinghaus@ikmb.uni-kiel.de},
number = {4},
pages = {371--80},
volume = {3},
year = {2009},
month = {Jul},
language = {eng},
keywords = {User-Computer Interface, Genotype, Polymorphism: Single Nucleotide, Software, Internet},
date-added = {2010-01-17 21:41:23 +0100},
date-modified = {2010-01-17 21:41:23 +0100},
pii = {4117575825726416},
pmid = {19706367},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3967},
rating = {0}
}

@article{deWinter:2009p5158,
author = {J C F de Winter and D Dodou and P A Wieringa},
journal = {Multivariate Behavioral Research},
title = {Exploratory Factor Analysis With Small Sample Sizes},
abstract = {Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes (N), with N D 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for N below 50. Simulations were carried out to estimate the minimum required N for different levels of loadings ({\oe}), number of factors (f ), and number of variables (p) and to examine the extent to which a small N solution can sustain the presence of small distortions such as interfactor correlations, model error, secondary loadings, unequal loadings, and unequal p/f. Factor recovery was assessed in terms of pattern congruence coefficients, factor score correlations, Heywood cases, and the gap size between eigenvalues. A subsampling study was also conducted on a psychological dataset of individuals who filled in a Big Five Inventory via the Internet. Results showed that when data are well conditioned (i.e., high {\oe}, low f, high p), EFA can yield reliable results for N well below 50, even in the presence of small distortions. Such conditions may be uncommon but should certainly not be ruled out in behavioral research data.},
number = {2},
pages = {147--181},
volume = {44},
year = {2009},
date-added = {2010-02-07 12:20:04 +0100},
date-modified = {2010-02-07 12:21:46 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/de%20Winter-2009-Multivariate%20Behavioral%20Research_Exploratory%20Factor%20A.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5158},
rating = {0}
}

@article{Bloss:2009p3011,
author = {C S Bloss and T E Bakken and A H Joyner and N J Schork},
title = {Leveraging High-Dimensional Neuroimaging Data in Genetic Studies of Neuropsychiatric Disease},
abstract = {The current state of biomedical science is such that both the number and sophistication of meth- ods available to investigate the genetic determinants of disease is unprecedented. For example, the introduc- tion of high-throughput technologies such as DNA microarrays, allow researchers to comprehensively assess the human genome for single nucleotide poly- morphisms that confer genetic susceptibility. Indeed, while these, and other similarly sophisticated methods, have yielded notable findings with regard to identifi- cation of risk variants in diseases such as diabetes, obe- sity, and glaucoma, similar studies of neuropsychiatric diseases such as schizophrenia and bipolar disorder have been somewhat less successful in producing strong findings. The reasons why this is the case are numerous, but likely reflect the very complex genetic architecture of neuropsychiatric conditions. In this chapter, we consider an approach to addressing this complexity that involves the use of what are termed `endophenotypes' (or alternatively `intermediate phe- notypes') in genetic studies of neuropsychiatric disor- ders. Endophenotypes are biological changes, such as brain structural differences, that are thought to repre- sent underlying molecular, physiologic, or otherwise subclinical changes resulting directly from the genetic variations that mediate susceptibility to overt clinical disease. Furthermore, neuroimaging phenotypes are, for a variety of reasons, thought to represent good candi- date endophenotypes for genetic association studies of neuropsychiatric disease. Like high-dimensional genome-wide data, however, these phenotyping tech- nologies can produce hundreds to thousands of data points or more, when all neuroanatomic regions and tissue types of interest are considered. The question then becomes, how can two or more high-dimensional data types (i.e., in this case genomic and neuroimaging) be leveraged, integrated, and analyzed in order to make valid inferences about the genetic basis of neuropsychi- atric disease? We comment on the analytic issues that arise when trying to leverage both genome-wide genetic data and neuroimaging data (e.g., problems related to multiple comparisons and false positives, as well as small sample sizes), and discuss four general approaches, each with its own set of advantages and disadvantages, that can be used in the analysis of imag- ing-genetics data. Finally, we provide a brief review of some of the recent studies that combine imaging and genetics, but note that the field, as a whole, is still very much in its infancy. We also provide suggestions for future directions.},
year = {2009},
date-added = {2010-01-13 23:24:37 +0100},
date-modified = {2010-01-13 23:25:32 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Bloss-2009-_Leveraging%20High-Dime.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3011},
rating = {0}
}

@article{Ricci:2008p5058,
author = {Daniela Ricci and Laura Cesarini and Domenico M M Romeo and Francesca Gallini and Francesca Serrao and Michela Groppo and Agnese De Carli and Francesco Cota and Domenico Lepore and Fernando Molle and Roberto Ratiglia and Maria Pia De Carolis and Fabio Mosca and Costantino Romagnoli and Francesco Guzzetta and Frances Cowan and Luca A Ramenghi and Eugenio Mercuri},
journal = {Pediatrics},
title = {Visual function at 35 and 40 weeks' postmenstrual age in low-risk preterm infants},
abstract = {OBJECTIVES: The objectives of this study were to (1) assess visual function in low-risk preterm infants at 35 and 40 weeks' postmenstrual age, (2) compare preterm visual abilities at term-equivalent age with term-born infants, and (3) evaluate effects of preterm extrauterine life on early visual function. METHODS: Visual function was assessed by using a validated test battery at 35 and 40 weeks' postmenstrual age in 109 low-risk preterm infants who were born at <31 weeks' gestation. The preterm findings were compared with data from term-born infants collected by using the same test protocol. RESULTS: All preterm infants completed both assessments. The 35-week responses were generally less mature than those at 40 weeks. Preterm infants at both ages were significantly more mature than term-born infants for ocular movements and vertical and arc tracking and at 40 weeks for stripe discrimination. In contrast, tracking a colored stimulus, attention at distance, and stripe discrimination were more mature at term age (in both term-born and preterm infants) than at 35 weeks. CONCLUSIONS: Our findings provide data for visual function at 35 and 40 weeks' postmenstrual age in low-risk preterm infants. The results suggest that early extrauterine experience may accelerate the maturation of aspects of visual function related to ocular stability and tracking but does not seem to affect other aspects that may be more cortically mediated.},
affiliation = {Catholic University, Pediatric Neurology Unit, Largo Gemelli 8, 00168 Rome, Italy.},
number = {6},
pages = {e1193--8},
volume = {122},
year = {2008},
month = {Dec},
language = {eng},
keywords = {Visual Acuity, Child Development, Female, Vision Screening, Male, Eye Movements, Infant: Premature, Probability, Infant: Newborn, Italy, Vision: Ocular, Retrospective Studies, Menstrual Cycle, Term Birth, Follow-Up Studies, Gestational Age, Risk Assessment, Humans, Reference Values, Age Factors, Visual Perception, Cohort Studies, Statistics: Nonparametric},
date-added = {2010-02-05 20:04:45 +0100},
date-modified = {2010-02-05 20:04:45 +0100},
doi = {10.1542/peds.2008-1888},
pii = {122/6/e1193},
pmid = {19047222},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Ricci-2008-Pediatrics_Visual%20function%20at%203.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5058},
rating = {0}
}

@article{Kontsevich:2002p4626,
author = {Leonid L Kontsevich and Chien-Chung Chen and Preeti Verghese and Christopher W Tyler},
journal = {Nat Neurosci},
title = {The unique criterion constraint: a false alarm?},
affiliation = {Smith Kettlewell Eye Res Inst, San Fancisco, CA},
number = {8},
pages = {707; author reply 707--8},
volume = {5},
year = {2002},
month = {Aug},
language = {eng},
keywords = {Mathematics, Reproducibility of Results, Models: Neurological, Humans, Signal Processing: Computer-Assisted, Neurons},
date-added = {2010-01-30 15:32:53 +0100},
date-modified = {2010-01-30 15:32:53 +0100},
doi = {10.1038/nn0802-707a},
pii = {nn0802-707a},
pmid = {12149617},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kontsevich-2002-Nat%20Neurosci_The%20unique%20criterion.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4626},
rating = {0}
}

@misc{Yamamoto:2002,
author = {K Yamamoto},
journal = {Miscellaneous},
title = {Estimating PISA students on the IALS prose literacy scale},
year = {2002},
date-added = {2010-01-10 11:33:19 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Yamamoto-2002-Miscellaneous_Estimating%20PISA%20stud.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1937},
rating = {0}
}

@article{Busjahn:1999p11468,
author = {A Busjahn and H D Faulhaber and K Freier and F C Luft},
journal = {Psychosom Med},
title = {Genetic and environmental influences on coping styles: a twin study},
abstract = {OBJECTIVE: Coping styles are generally considered to be environmentally driven, primarily by family influences. However, because personality traits are commonly influenced by genetic effects, we hypothesized that heredity is also important for coping. METHODS: We tested this hypothesis by assessing 19 coping styles, as well as four secondary coping factors, by questionnaire in 212 pairs of monozygotic and dizygotic twins. We then examined heredity by structural equation modeling. RESULTS: All coping styles showed evidence of genetic influences. The coping styles shared one common genetic factor. In addition, each coping style was also influenced by other separate genetic factors. Shared environment had no significant influence on coping styles. Three of 19 more specific coping styles showed shared environmental effects as well as genetic influences, 14 were solely under genetic influences, and two showed only shared environment effects. CONCLUSIONS: We suggest that hereditary effects on certain coping style preferences cannot be explained solely by genetic influences on major personality traits and temperament. An analysis of the relationships between coping and personality in twin subjects may elucidate the distinction between genetic and environmental effects.},
affiliation = {Franz Volhard Clinic, Max Delbr{\"u}ck Center for Molecular Medicine, Medical Faculty of the Charit{\'e}, Humboldt University, Berlin, Germany. busjahn@fvk-berlin.de},
number = {4},
pages = {469--75},
volume = {61},
year = {1999},
month = {Jan},
language = {eng},
keywords = {Male, Genetic Markers, Polymerase Chain Reaction, Reproducibility of Results, Female, Middle Aged, Twins, Zygote, Phenotype, Environment, Adaptation: Psychological, Humans, Questionnaires, Adult},
date-added = {2010-05-01 17:24:18 +0200},
date-modified = {2010-07-29 19:47:44 +0200},
pmid = {10443755},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11468},
rating = {0}
}

@article{McClure:2000,
author = {GMG McClure},
journal = {British Journal of Psychiatry},
title = {Changes in suicide in England and wales 1960-1997},
abstract = {Background Methods of suicide and suicide rates in England and Wales have fluctuated considerably since the 1960s. Aims To review the changes that have occurred in suicide rates in England and Wales between 1960 and 1997. Method Suicide rates, derived from total annual suicides and the estimated annual resident population, were obtained from the Office for National Statistics. Results Suicide rates decreased in both genders between the early 1960s and the mid-1970s. The rate for males then increased between 1975 and 1990, while the rate for females continued to fall. Between 1990 and 1997, the rate decreased for males and females in all age groups, particularly for those using motor vehicle exhaust gas; the latter finding is associated with increasing use of catalytic converters. Conclusions Following the increase in suicide among males until 1990 there was a decrease for both genders between 1990 and 1997, consistent with the `Health of the Nation' target.},
pages = {64--87},
volume = {176},
year = {2000},
date-added = {2010-01-03 19:36:09 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1036},
rating = {0}
}

@article{Weihrauch:2004p6469,
author = {Thomas R Weihrauch},
journal = {Sci Eng Ethics},
title = {Placebo treatment is effective differently in different diseases--but is it also harmless? A brief synopsis},
abstract = {The placebo drug reactions from controlled trials were studied for the first time systematically for efficacy and the safety in drug data pooled from randomized, placebo-controlled, multicentre studies. RESULTS: The efficacy of placebo on clinical symptoms and outcome varied between the therapeutic indications. However, no placebo effects on laboratory values, as e.g. blood glucose or Hb1c in diabetics, were noted. The frequency and type of placebo-induced adverse reactions also varied between indication groups. The placebo side effect profile was largely similar to the side effect profile of the active treatment. The mechanisms of placebo effects are many fold and varied (e.g. endorphin release, conditioning), much lacks explanation. CONCLUSION: Since the prescription of non-evidence based medicines (= pseudoplacebos) may clearly also result in serious adverse effects, such practice may not only be non-beneficial but may even be harmful. In clinical research, the judicious use of placebo remains essential to establish the efficacy and safety, safeguarding that patients receiving placebo will not be subject to harm and are fully informed.},
affiliation = {Pharmaceutical Research Center, Bayer AG, Aprather Weg, 42096 Wuppertal, Germany. thomas.weihrauch.tw@bayer-ag.de},
number = {1},
pages = {151--5},
volume = {10},
year = {2004},
month = {Jan},
language = {eng},
keywords = {Human Experimentation, Placebos, Randomized Controlled Trials as Topic, Helsinki Declaration, Humans, Placebo Effect, Guidelines as Topic},
date-added = {2010-02-23 08:34:46 +0100},
date-modified = {2010-02-23 08:34:46 +0100},
pmid = {14986781},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Weihrauch-2004-Sci%20Eng%20Ethics_Placebo%20treatment%20is.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6469},
rating = {0}
}

@article{Hsu:2007p5883,
author = {C F Hsu and B Chang and H F Hung},
journal = {Proceedings of the 2007 IEEE IEEM},
title = {Applying SVM to Build Supplier Evaluation Model -- Comparing Likert Scale and Fuzzy Scale},
abstract = {This research was performed to generate a supplier evaluation (SE) model in order to enhance an enterprise's competitiveness, and apply this model to solve practical business problems. Through past studies, we applied representative supplier evaluation principles while designing supplier evaluation questionnaire, and classified the suppliers into three categories: perform excellently (class 1), perform ordinary (class 2), and perform poorly (class 3). The Likert scale and Fuzzy scale are applied individually to compute a score according to these principles. We then apply the support vector machine (SVM) to build the supplier evaluation classifier, and observe under SVM whether using the Likert or Fuzzy scale produces better classification performance. The result revealed that the performance is invariant under both scales. Therefore, we find SVM combined with efficient feature reduction to be a better strategy for building a supplier evaluation model.},
pages = {6--10},
year = {2007},
date-added = {2010-02-17 15:12:12 +0100},
date-modified = {2010-02-17 15:13:31 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hsu-2007-Proceedings%20of%20the%202007%20IEEE%20IEEM_Applying%20SVM%20to%20Buil.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5883},
rating = {0}
}

@article{Patterson:2004p3531,
author = {Nick Patterson and Neil Hattangadi and Barton Lane and Kirk E Lohmueller and David A Hafler and Jorge R Oksenberg and Stephen L Hauser and Michael W Smith and Stephen J O'Brien and David M Altshuler and Mark J Daly and David Reich},
journal = {Am J Hum Genet},
title = {Methods for high-density admixture mapping of disease genes},
abstract = {Admixture mapping (also known as "mapping by admixture linkage disequilibrium," or MALD) has been proposed as an efficient approach to localizing disease-causing variants that differ in frequency (because of either drift or selection) between two historically separated populations. Near a disease gene, patient populations descended from the recent mixing of two or more ethnic groups should have an increased probability of inheriting the alleles derived from the ethnic group that carries more disease-susceptibility alleles. The central attraction of admixture mapping is that, since gene flow has occurred recently in modern populations (e.g., in African and Hispanic Americans in the past 20 generations), it is expected that admixture-generated linkage disequilibrium should extend for many centimorgans. High-resolution marker sets are now becoming available to test this approach, but progress will require (a). computational methods to infer ancestral origin at each point in the genome and (b). empirical characterization of the general properties of linkage disequilibrium due to admixture. Here we describe statistical methods to estimate the ancestral origin of a locus on the basis of the composite genotypes of linked markers, and we show that this approach accurately estimates states of ancestral origin along the genome. We apply this approach to show that strong admixture linkage disequilibrium extends, on average, for 17 cM in African Americans. Finally, we present power calculations under varying models of disease risk, sample size, and proportions of ancestry. Studying approximately 2500 markers in approximately 2500 patients should provide power to detect many regions contributing to common disease. A particularly important result is that the power of an admixture mapping study to detect a locus will be nearly the same for a wide range of mixture scenarios: the mixture proportion should be 10%-90% from both ancestral populations.},
affiliation = {Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.},
number = {5},
pages = {979--1000},
volume = {74},
year = {2004},
month = {May},
language = {eng},
keywords = {Polymorphism: Genetic, Gene Frequency, Genetic Markers, Linkage Disequilibrium, African Continental Ancestry Group, Genetic Diseases: Inborn, Alleles, Risk, Tandem Repeat Sequences, Chromosome Mapping, Software, European Continental Ancestry Group, Humans, Ethnic Groups, Genome: Human},
date-added = {2010-01-15 15:57:08 +0100},
date-modified = {2010-07-29 20:21:03 +0200},
doi = {10.1086/420871},
pii = {S0002-9297(07)64363-8},
pmid = {15088269},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Patterson-2004-Am%20J%20Hum%20Genet_Methods%20for%20high-den.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3531},
rating = {0}
}

@article{Speed:2009p1457,
author = {Terry Speed and Hongyu Zhao},
journal = {Stat Methods Med Res},
title = {Microarrays},
number = {6},
pages = {531--2},
volume = {18},
year = {2009},
month = {Dec},
language = {eng},
date-added = {2010-01-07 12:25:21 +0100},
date-modified = {2010-01-07 12:25:21 +0100},
doi = {10.1177/0962280209352042},
pii = {18/6/531},
pmid = {20048382},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Speed-2009-Stat%20Methods%20Med%20Res_Microarrays.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1457},
rating = {0}
}

@misc{Yu:2007,
author = {C H Yu},
journal = {Miscellaneous},
title = {Automation and visualization of distractor analysis using SAS/GRAPH},
year = {2007},
date-added = {2010-01-10 11:33:19 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Yu-2007-Miscellaneous_Automation%20and%20visua.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2157},
rating = {0}
}

@article{Geisinger:1994p11658,
author = {K F Geisinger},
journal = {Psychol Assess},
title = {Cross-Cultural Normative Assessment: Translation and Adaptation Issues Influencing the Normative Interpretation ofAssessment Instruments},
abstract = {This article describes some of the issues affecting measures that are translated and/or adapted from an original language and culture to a new one. It addresses steps to ensure (a) that the test continues to measure the same psychological characteristics, (b) that the test content is the same, and (c) that the research procedures needed to document that it effectively meets this goal are available. Specifi- cally, the notions of test validation, fairness, and norms are addressed. An argument that such adap- tations may be necessary when assessing members of subpopulations in U.S. culture is proposed.},
number = {4},
pages = {304--312},
volume = {6},
year = {1994},
date-added = {2010-05-11 22:54:54 +0200},
date-modified = {2010-07-29 19:45:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Geisinger-1994-Psychol%20Assess_Cross-Cultural%20Norma.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11658},
rating = {0}
}

@article{Wiesel:2008p416,
author = {Ami Wiesel and Mark Kliger and Alfred O. Hero III},
journal = {arXiv},
title = {A greedy approach to sparse canonical correlation analysis},
abstract = { We consider the problem of sparse canonical correlation analysis (CCA), i.e., the search for two linear combinations, one for each multivariate, that yield maximum correlation using a specified number of variables. We propose an efficient numerical approximation based on a direct greedy approach which bounds the correlation at each stage. The method is specifically designed to cope with large data sets and its computational complexity depends only on the sparsity levels. We analyze the algorithm's performance through the tradeoff between correlation and parsimony. The results of numerical simulation suggest that a significant portion of the correlation may be captured using a relatively small number of variables. In addition, we examine the use of sparse CCA as a regularization method when the number of available samples is small compared to the dimensions of the multivariates. },
note = {5 pages, 3 pages},
eprint = {0801.2748v1},
volume = {stat.CO},
year = {2008},
month = {Jan},
keywords = {stat.CO, stat.ME},
date-added = {2010-01-03 12:07:44 +0100},
date-modified = {2010-01-03 12:07:44 +0100},
pmid = {0801.2748v1},
URL = {http://arxiv.org/abs/0801.2748v1},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Wiesel-2008-arXiv_A%20greedy%20approach%20to.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p416},
rating = {0}
}

@article{Naber:2008p11027,
author = {Fabi{\"e}nne B A Naber and Marian J Bakermans-Kranenburg and Marinus H van Ijzendoorn and Sophie H N Swinkels and Jan K Buitelaar and Claudine Dietz and Emma van Daalen and Herman van Engeland},
journal = {J Autism Dev Disord},
title = {Play behavior and attachment in toddlers with autism},
abstract = {Play helps to develop social skills. Children with autism show deviances in their play behavior that may be associated with delays in their social development. In this study, we investigated manipulative, functional and symbolic play behavior of toddlers with and without autism (mean age: 26.45, SD 5.63). The results showed that the quality of interaction between the child and the caregiver was related to the development of play behavior. In particular, security of attachment was related to better play behavior. When the developmental level of the child is taken into account, the attachment relationship of the child with the caregiver at this young age is a better predictor of the level of play behavior than the child's disorder.},
affiliation = {Centre for Child and Family studies, University of Leiden, 9555, 2300 RB Leiden, The Netherlands. Fnaber@fsw.leidenuniv.nl},
number = {5},
pages = {857--66},
volume = {38},
year = {2008},
month = {May},
language = {eng},
keywords = {Child: Preschool, Play and Playthings, Autistic Disorder, Time Factors, Object Attachment, Female, Humans, Psychomotor Performance, Male},
date-added = {2010-04-14 13:41:27 +0200},
date-modified = {2010-04-14 13:41:27 +0200},
doi = {10.1007/s10803-007-0454-5},
pmid = {17896172},
URL = {http://www.springerlink.com/content/j611765408220298/},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Naber-2008-J%20Autism%20Dev%20Disord_Play%20behavior%20and%20at.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11027},
rating = {0}
}

@article{Teresi:2000p547,
author = {J A Teresi and M Kleinman and K Ocepek-Welikson},
journal = {Stat Med},
title = {Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures},
abstract = {Cognitive screening tests and items have been found to perform differently across groups that differ in terms of education, ethnicity and race. Despite the profound implications that such bias holds for studies in the epidemiology of dementia, little research has been conducted in this area. Using the methods of modern psychometric theory (in addition to those of classical test theory), we examined the performance of the Attention subscale of the Mattis Dementia Rating Scale. Several item response theory models, including the two- and three-parameter dichotomous response logistic model, as well as a polytomous response model were compared. (Log-likelihood ratio tests showed that the three-parameter model was not an improvement over the two-parameter model.) Data were collected as part of the ten-study National Institute on Aging Collaborative investigation of special dementia care in institutional settings. The subscale KR-20 estimate for this sample was 0.92. IRT model-based reliability estimates, provided at several points along the latent attribute, ranged from 0.65 to 0.97; the measure was least precise at the less disabled tail of the distribution. Most items performed in similar fashion across education groups; the item characteristic curves were almost identical, indicating little or no differential item functioning (DIF). However, four items were problematic. One item (digit span backwards) demonstrated a large error term in the confirmatory factor analysis; item-fit chi-square statistics developed using BIMAIN confirm this result for the IRT models. Further, the discrimination parameter for that item was low for all education subgroups. Generally, persons with the highest education had a greater probability of passing the item for most levels of theta. Model-based tests of DIF using MULTILOG identified three other items with significant, albeit small, DIF. One item, for example, showed non-uniform DIF in that at the impaired tail of the latent distribution, persons with higher education had a higher probability of correctly responding to the item than did lower education groups, but at less impaired levels, they had a lower probability of a correct response than did lower education groups. Another method of detection identified this item as having DIF (unsigned area statistic=3.05, p<0.01, and 2.96, p<0.01). On average, across the entire score range, the lower education group's probability of answering the item correctly was 0.11 higher than the higher education group's probability. A cross-validation with larger subgroups confirmed the overall result of little DIF for this measure. The methods used for detecting differential item functioning (which may, in turn, be indicative of bias) were applied to a neuropsychological subtest. These methods have been used previously to examine bias in screening measures across education and ethnic and racial subgroups. In addition to the important epidemiological applications of ensuring that screening measures and neuropsychological tests used in diagnoses are free of bias so that more culture-fair classifications will result, these methods are also useful for the examination of site differences in large multi-site clinical trials. It is recommended that these methods receive wider attention in the medical statistical literature.},
affiliation = {Columbia University, Stroud Center, New York, NY 10032, USA. Teresimeas@aol.com},
number = {11-12},
pages = {1651--83},
volume = {19},
year = {2000},
month = {Jan},
language = {eng},
keywords = {Aged, Neuropsychological Tests, Nursing Homes, Bias (Epidemiology), Humans, Alzheimer Disease, Aged: 80 and over, Psychometrics, United States, Homes for the Aged, Mass Screening},
date-added = {2010-01-03 14:17:52 +0100},
date-modified = {2010-01-03 14:17:52 +0100},
pii = {10.1002/(SICI)1097-0258(20000615/30)19:11/12<1651::AID-SIM453>3.0.CO;2-H},
pmid = {10844726},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Teresi-2000-Stat%20Med_Modern%20psychometric.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p547},
rating = {0}
}

@article{Lawson:2006p1828,
author = {Douglas M Lawson},
journal = {J Manipulative Physiol Ther},
title = {Applying the item response theory to classroom examinations},
abstract = {OBJECTIVE: The purpose of this research project was to determine if the item response theory (IRT) can successfully be applied to smaller-sized class examinations. METHODS: The Rasch mathematical model (RMM) was selected from the family of IRT models because of its ability to work with smaller sample sizes. Two simulated examinations were created for 100 students by 100-item dichotomous examinations. Examination 2 contained 20 items common with those in examination 1. Examination 1 was systematically exposed to randomly missing student responses and to entire items being removed to determine the robustness of the RMM to missing data. The two examinations were then analyzed with the RMM individually and then in combination. Student scores and IRT measures were compared to determine if the IRT could successfully place the students from the two examinations on the same metric of measure. RESULTS: The student measures were not affected when up to 20% of the student responses were randomly missing. Student measures continued to have high reliability and correlated with full matrix measures for up to 40% of items being dropped from the examination. Student scores and IRT measures correlated highly when the two examinations were combined. CONCLUSIONS: The RMM can be successfully applied to small-sized class examinations, such as those at chiropractic, medical, and other health profession institutions. It is possible to place candidates from different administrations on the same metric of measure if there is as little as a 20% overlap of items between examinations. The RMM could assist faculty in determining if differences in candidate scores are caused by ability or item difficulty.},
affiliation = {Faculty of Medicine, Medical Education Research Center, University of Calgary, Calgary, Alberta, Canada T1Y1C9. lawsondrdm@gmail.com},
number = {5},
pages = {393--7},
volume = {29},
year = {2006},
month = {Jun},
language = {eng},
keywords = {Humans, Chiropractic, Educational Measurement},
date-added = {2010-01-09 23:00:24 +0100},
date-modified = {2010-01-09 23:00:24 +0100},
doi = {10.1016/j.jmpt.2006.04.006},
pii = {S0161-4754(06)00085-6},
pmid = {16762668},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1828},
rating = {0}
}

@article{Clark:2010p7570,
author = {D B Clark and H B Moss},
journal = {PLoS Med},
title = {Providing Alcohol-Related Screening and Brief Interventions to Adolescents through Health Care Systems: Obstacles and Solutions},
number = {3},
pages = {e1000214},
volume = {7},
year = {2010},
date-added = {2010-03-14 10:58:42 +0100},
date-modified = {2010-03-14 10:59:42 +0100},
doi = {10.1371/journal. pmed.1000214},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Clark-2010-PLoS%20Med_Providing%20Alcohol-Re.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7570},
rating = {0}
}

@article{Damico:2009p2387,
author = {A Damico},
journal = {The R Journal},
title = {Transitioning to R: Replicating SAS, Stata, and SUDAAN analysis techniques in Health Policy data},
abstract = {Statistical, data manipulation, and presentation tools make R an ideal integrated package for research in the fields of health policy and healthcare management and evaluation. However, the technical documentation accompanying most data sets used by researchers in these fields does not include syntax examples for analysts to make the transition from another statistical package to R. This paper describes the steps required to import health policy data into R, to prepare that data for analysis using the two most common complex survey variance calculation techniques, and to produce the principal set of statistical estimates sought by health policy researchers. Using data from the Medical Expenditure Panel Survey Household Component (MEPS-HC), this paper outlines complex survey data analysis techniques in R, with side-by-side comparisons to the SAS, Stata, and SUDAAN statistical software packages.},
pages = {37--44},
volume = {1/2},
year = {2009},
date-added = {2010-01-11 19:45:25 +0100},
date-modified = {2010-01-11 19:47:54 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Damico-2009-The%20R%20Journal_Transitioning%20to%20R.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2387},
rating = {0}
}

@article{Lindeboom:2004p6387,
author = {R Lindeboom and R Holman and M G W Dijkgraaf and M A G Sprangers and E Buskens and J P Diederiks and R J De Haan},
journal = {Journal of Clinical Epidemiology},
title = {Scaling the sickness impact profile using item response theory: an exploration of linearity, adaptive use, and patient driven item weights},
abstract = {BACKGROUND AND OBJECTIVE: The objective of the study was to enhance the clinical interpretation and practicality of the widely used comprehensive Sickness Impact Profile. METHOD: Item Response Theory (extension of the Rasch model) was used to calibrate the severity of the SIP items, to assess item bias and to construct equally severe short forms of the SIP that can be used interchangeably. The scores of 1507 subjects were analyzed. RESULTS: Of the 127 SIP items, 82 items fitted the extended Rasch model, i.e., the observed proportions of sickness level groups endorsing the items corresponded to the proportions expected by the model. The item severity hierarchy allowed a more straightforward interpretation of the calibrated SIP-82 scores. Some items showed bias in age, gender, or diagnosis groups. The equivalent short forms agreed sufficiently well with the calibrated SIP-82 item pool to be used interchangeably. We observed a moderate correlation between the original SIP item severity weights and the Rasch item severity calibrations (r=0.53). CONCLUSION: The interpretability and practicality of the SIP was enhanced by the IRT calibration. Using the item calibrations, short forms can be assembled that can be used interchangeably.},
affiliation = {Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands. r.lindeboom@amc.uva.nl},
number = {1},
pages = {66--74},
volume = {57},
year = {2004},
month = {Jan},
language = {eng},
keywords = {Sensitivity and Specificity, Neoplasms, Pancreatitis: Acute Necrotizing, Humans, Endarterectomy: Carotid, Calibration, Myocardial Infarction, Psychometrics, Hearing Loss, Sickness Impact Profile, Data Interpretation: Statistical, Case-Control Studies, Endocarditis: Bacterial, Stroke},
date-added = {2010-02-23 08:24:29 +0100},
date-modified = {2010-02-23 08:24:29 +0100},
doi = {10.1016/S0895-4356(03)00212-9},
pii = {S0895435603002129},
pmid = {15019012},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Lindeboom-2004-Journal%20of%20Clinical%20Epidemiology_Scaling%20the%20sickness.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6387},
rating = {0}
}

@article{Rodin:2009p12953,
author = {Andrei S Rodin and Anatoliy Litvinenko and Kathy Klos and Alanna C Morrison and Trevor Woodage and Josef Coresh and Eric Boerwinkle},
journal = {Journal of computational biology : a journal of computational molecular cell biology},
title = {Use of wrapper algorithms coupled with a random forests classifier for variable selection in large-scale genomic association studies},
abstract = {Modern large-scale genetic association studies generate increasingly high-dimensional datasets. Therefore, some variable selection procedure should be performed before the application of traditional data analysis methods, for reasons of both computational efficiency and problems related to overfitting. We describe here a "wrapper" strategy (SIZEFIT) for variable selection that uses a Random Forests classifier, coupled with various local search/optimization algorithms. We apply it to a large dataset consisting of 2,425 African-American and non-Hispanic white individuals genotyped for 4,869 single-nucleotide polymorphisms (SNPs) in a coronary heart disease (CHD) case-cohort association study (Atherosclerosis Risk in Communities), using incident CHD and plasma low-density lipoprotein (LDL) cholesterol levels as the dependent variables. We show that most SNPs can be safely removed from the dataset without compromising the predictive (classification) accuracy, with only a small number of SNPs (sometimes less than 100) containing any predictive signal. A statistical (SUMSTAT) approach is also applied to the dataset for comparison purposes. We describe a novel method for refining the subset of signal-containing SNPs (FIXFIT), based on an Extremal Optimization algorithm. Finally, we compare the top SNP rankings obtained by different methods and devise practical guidelines for researchers trying to generate a compact subset of predictive SNPs from genome-wide association datasets. Interestingly, there is a significant amount of overlap between seemingly very heterogeneous rankings. We conclude by constructing compact optimal predictive SNP subsets for CHD (less than 150 SNPs) and LDL (less than 300 SNPs) phenotypes, and by comparing various rankings for two well-known positive control SNPs for LDL in the apolipoprotein E gene.},
affiliation = {Human Genetics Center, School of Public Health, University of Texas Health Science Center, Houston, Texas, USA. asrodin@hotmail.com},
number = {12},
pages = {1705--18},
volume = {16},
year = {2009},
month = {Dec},
language = {eng},
keywords = {African Americans, Genome-Wide Association Study, Apolipoproteins E, Algorithms, Databases: Genetic, Humans, Models: Genetic, Atherosclerosis, Genetic Predisposition to Disease},
date-added = {2010-06-25 22:05:41 +0200},
date-modified = {2010-06-25 22:05:42 +0200},
doi = {10.1089/cmb.2008.0037},
pmid = {20047492},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12953},
rating = {0}
}

@article{Joseph:2009p12169,
author = {Jane E Joseph and Xun Liu and Yang Jiang and Donald Lynam and Thomas H Kelly},
journal = {Psychol Sci},
title = {Neural correlates of emotional reactivity in sensation seeking},
abstract = {High sensation seeking has been linked to increased risk for drug abuse and other negative behavioral outcomes. This study explored the neurobiological basis of this personality trait using functional magnetic resonance imaging (fMRI). High sensation seekers (HSSs) and low sensation seekers (LSSs) viewed high- and low-arousal pictures. Comparison of the groups revealed that HSSs showed stronger fMRI responses to high-arousal stimuli in brain regions associated with arousal and reinforcement (right insula, posterior medial orbitofrontal cortex), whereas LSSs showed greater activation and earlier onset of fMRI responses to high-arousal stimuli in regions involved in emotional regulation (anterior medial orbitofrontal cortex, anterior cingulate). Furthermore, fMRI response in anterior medial orbitofrontal cortex and anterior cingulate was negatively correlated with urgency. Finally, LSSs showed greater sensitivity to the valence of the stimuli than did HSSs. These distinct neurobiological profiles suggest that HSSs exhibit neural responses consistent with an overactive approach system, whereas LSSs exhibit responses consistent with a stronger inhibitory system.},
affiliation = {Department of Anatomy and Neurobiology, University of Kentucky Chandler Medical Center, Lexington, KY 40536-0098, USA. jjoseph@uky.edu},
number = {2},
pages = {215--23},
volume = {20},
year = {2009},
month = {Feb},
language = {eng},
keywords = {Risk Factors, Cerebral Cortex, Reinforcement (Psychology), Magnetic Resonance Imaging, Male, Humans, Exploratory Behavior, Arousal, Questionnaires, Affect, Prefrontal Cortex, Nerve Net, Substance-Related Disorders, Female},
date-added = {2010-05-30 10:44:39 +0200},
date-modified = {2010-07-29 19:46:15 +0200},
doi = {10.1111/j.1467-9280.2009.02283.x},
pii = {PSCI2283},
pmid = {19222814},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12169},
rating = {0}
}

@article{Uher:2010p11106,
author = {Rudolf Uher and Robert Goodman},
journal = {Soc Psychiatry Psychiatr Epidemiol},
title = {The Everyday Feeling Questionnaire: the structure and validation of a measure of general psychological well-being and distress},
abstract = {BACKGROUND: Psychological distress and well-being underlie the continuum of susceptibility to common mental disorders. Our objective was to provide a simple and acceptable measure of psychological distress and well-being to collect information from subjects and informants in non-clinical samples, to explore its internal structure, concurrent and external validity. METHOD: Self and partner versions of the ten-item Everyday Feeling Questionnaire (EFQ) were administered to 5,279 adults. The 12-item General Health Questionnaire (GHQ) was used to establish concurrent validity. Socioeconomic status, child psychopathology, and family functioning served as external validators. RESULTS: The EFQ was internally consistent with all items loading strongly on a single common factor. Item response analysis showed excellent sensitivity of the ten items, balanced contribution of well-being and distress items and good information content across a broad range. The internal structure of partner version did not differ from self-report. The constructs measured by the EFQ and GHQ were distinct, but highly correlated. The EFQ's correlations with external validators were stronger than GHQ's ones. CONCLUSION: Psychological well-being and distress are measurable as a single construct, using the EFQ. The partner-report version will facilitate the collection of data on multiple household members or on the same individual from two or more sources.},
affiliation = {King's College London Institute of Psychiatry, London, SE5 8AF, UK.},
number = {3},
pages = {413--23},
volume = {45},
year = {2010},
month = {Mar},
language = {eng},
keywords = {Adaptation: Psychological, Child, Risk Factors, Female, Health Status, Sensitivity and Specificity, Adolescent, Stress: Psychological, Reproducibility of Results, Attitude to Health, Mental Disorders, Social Class, Middle Aged, Male, Adult, Family Characteristics, Humans, Psychometrics, Questionnaires, Quality of Life, Follow-Up Studies},
date-added = {2010-04-14 13:54:00 +0200},
date-modified = {2010-07-29 19:50:19 +0200},
doi = {10.1007/s00127-009-0074-9},
pmid = {19466369},
URL = {http://www.springerlink.com/content/k4803647j75m1787/},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Uher-2010-Soc%20Psychiatry%20Psychiatr%20Epidemiol_The%20Everyday%20Feeling.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11106},
rating = {0}
}

@article{Eudey:2010p14021,
author = {T L Eudey and J D Kerr and B E Trumbo},
journal = {Journal of Statistics Education},
title = {Using R to Simulate Permutation Distributions for Some Elementary Experimental Designs},
abstract = {Null distributions of permutation tests for two-sample, paired, and block designs are simulated using the R statistical programming language. For each design and type of data, permutation tests are compared with standard normal-theory and nonparametric tests. These examples (often using real data) provide for classroom discussion use of metrics that are appropriate for the data. Simple programs in R are provided and explained briefly. Suggestions are provided for use of permutation tests and R in teaching statistics courses for upper-division and first year graduate students.},
number = {1},
volume = {18},
year = {2010},
date-added = {2010-08-09 09:58:16 +0200},
date-modified = {2010-08-09 09:59:21 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Eudey-2010-Journal%20of%20Statistics%20Education_Using%20R%20to%20Simulate.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14021},
rating = {0}
}

@article{Hanisch:2010p4191,
author = {Charlotte Hanisch and Inez Freund-Braier and Christopher Hautmann and Nicola J{\"a}nen and Julia Pl{\"u}ck and Gabriele Brix and Ilka Eichelberger and Manfred D{\"o}pfner},
journal = {Behav Cogn Psychother},
title = {Detecting effects of the indicated prevention Programme for Externalizing Problem behaviour (PEP) on child symptoms, parenting, and parental quality of life in a randomized controlled trial},
abstract = {BACKGROUND: Behavioural parent training is effective in improving child disruptive behavioural problems in preschool children by increasing parenting competence. The indicated Prevention Programme for Externalizing Problem behaviour (PEP) is a group training programme for parents and kindergarten teachers of children aged 3-6 years with externalizing behavioural problems. AIMS: To evaluate the effects of PEP on child problem behaviour, parenting practices, parent-child interactions, and parental quality of life. METHOD: Parents and kindergarten teachers of 155 children were randomly assigned to an intervention group (n = 91) and a nontreated control group (n = 64). They rated children's problem behaviour before and after PEP training; parents also reported on their parenting practices and quality of life. Standardized play situations were video-taped and rated for parent-child interactions, e.g. parental warmth. RESULTS: In the intention to treat analysis, mothers of the intervention group described less disruptive child behaviour and better parenting strategies, and showed more parental warmth during a standardized parent-child interaction. Dosage analyses confirmed these results for parents who attended at least five training sessions. Children were also rated to show less behaviour problems by their kindergarten teachers. CONCLUSIONS: Training effects were especially positive for parents who attended at least half of the training sessions. ABBREVIATIONS: CBCL: Child Behaviour Checklist; CII: Coder Impressions Inventory; DASS: Depression anxiety Stress Scale; HSQ: Home-situation Questionnaire; LSS: Life Satisfaction Scale; OBDT: observed behaviour during the test; PCL: Problem Checklist; PEP: prevention programme for externalizing problem behaviour; PPC: Parent Problem Checklist; PPS: Parent Practices Scale; PS: Parenting Scale; PSBC: Problem Setting and Behaviour checklist; QJPS: Questionnaire on Judging Parental Strains; SEFS: Self-Efficacy Scale; SSC: Social Support Scale; TRF: Caregiver-Teacher Report Form.},
affiliation = {University of Applied Sciences D{\"u}sseldorf, Germany. charlotte.hanisch@fh-duesseldorf.de},
number = {1},
pages = {95--112},
volume = {38},
year = {2010},
month = {Jan},
language = {eng},
date-added = {2010-01-21 07:58:13 +0100},
date-modified = {2010-01-21 07:58:13 +0100},
doi = {10.1017/S1352465809990440},
pii = {S1352465809990440},
pmid = {19995467},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4191},
rating = {0}
}

@article{Dolnicar:2009p13380,
author = {S Dolnicar and F Leisch},
journal = {Marketing Letters},
title = {Evaluation of Structure and Reproducibility of Cluster Solutions Using the Bootstrap},
abstract = {Segmentation results derived using cluster analysis depend on (1) the structure of the data and (2) algorithm parameters. Typically neither the data structure is assessed in advance of clustering nor is the sensitivity of the analysis to changes in algorithm parameters. We propose a benchmarking framework based on bootstrapping techniques that accounts for sample and algorithm randomness. This provides much needed guidance both to data analysts and users of clustering solutions regarding the choice of the final clusters from computations which are exploratory in nature.},
year = {2009},
date-added = {2010-07-01 19:15:58 +0200},
date-modified = {2010-07-01 19:19:30 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Dolnicar-2009-Marketing%20Letters_Evaluation%20of%20Struct.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13380},
rating = {5}
}

@misc{Finkelman:2007,
author = {Matthew Finkelman and Wonsuk Kim},
journal = {Miscellaneous},
title = {Using person fit in a body of work standard setting},
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/Finkelman-2007-Miscellaneous_Using%20person%20fit%20in.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1943},
rating = {0}
}

@article{Bender:2010p6558,
author = {Ralf Bender and Oliver Kuss},
journal = {Journal of Clinical Epidemiology},
title = {Methods to calculate relative risks, risk differences, and numbers needed to treat from logistic regression},
affiliation = {Department of Medical Biometry, Institute for Quality and Efficiency in Health Care (IQWiG), Dillenburger Str. 27, D-51105 Cologne, Germany. Ralf.Bender@iqwig.de},
number = {1},
pages = {7--8},
volume = {63},
year = {2010},
month = {Jan},
language = {eng},
date-added = {2010-02-24 20:36:38 +0100},
date-modified = {2010-02-24 20:36:38 +0100},
doi = {10.1016/j.jclinepi.2009.07.007},
pii = {S0895-4356(09)00214-5},
pmid = {19762212},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Bender-2010-Journal%20of%20Clinical%20Epidemiology_Methods%20to%20calculate.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6558},
rating = {0}
}

@article{Lin:2006p3921,
author = {D Y Lin},
journal = {Am J Hum Genet},
title = {Evaluating statistical significance in two-stage genomewide association studies},
abstract = {Genomewide association studies are being conducted to unravel the genetic etiology of complex human diseases. Because of cost constraints, these studies typically employ a two-stage design, under which a large panel of markers is examined in a subsample of subjects, and the most-promising markers are then examined in all subjects. This report describes a simple and efficient method to evaluate statistical significance for such genome studies. The proposed method, which properly accounts for the correlated nature of polymorphism data, provides accurate control of the overall false-positive rate and is substantially more powerful than the standard Bonferroni correction, especially when the markers are in strong linkage disequilibrium.},
affiliation = {Department of Biostatistics, University of North Carolina, Chapel Hill, 27599-7420, USA. lin@bios.unc.edu},
number = {3},
pages = {505--9},
volume = {78},
year = {2006},
month = {Mar},
language = {eng},
keywords = {Genetic Markers, Software, Genome: Human, Genetic Diseases: Inborn, Genetic Predisposition to Disease, Linkage Disequilibrium, Humans, Genomics, Data Interpretation: Statistical},
date-added = {2010-01-16 21:05:33 +0100},
date-modified = {2010-01-16 21:05:33 +0100},
doi = {10.1086/500812},
pii = {S0002-9297(07)62389-1},
pmid = {16408254},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3921},
rating = {0}
}

@article{Singh:2010p13492,
author = {K P Singh and A A Bartolucci and S Bae},
journal = {Journal of Data Science},
title = {The Bayesian Multiple Logistic Random Effects Model for Analysis of Clinical Trial Data},
abstract = {A prospective, multi-institutional and randomized surgical trial involving 724 early stage melanoma patients was conducted to determine whether excision margins for intermediate-thickness melanomas (1.0 to 4.0 mm) could be safely reduced from the standard 4-cm radius. Patients with 1- to 4-mm-thick melanomas on the trunk or proximal extremities were ran- domly assigned to receive either a 2- or 4-cm surgical margin with or without immediate node dissection (i.e. immediate vs. later -within 6 months). The median follow-up time was 6 years. Recurrence rates did not correlate with surgical margins, even among stratified thickness groups. The hospital stay was shortened from 7.0 days for patients receiving 4-cm surgical margins to 5.2 days for those receiving 2-cm margins (p = 0.0001). This reduction was largely due to reduced need for skin grafting in the 2cm group. The overall conclusion was that the narrower margins significantly reduced the need for skin grafting and shortened the hospital stay. Due to the adequacy of subject follow up, recently a statistical focus was on what prognostics factors usually called covariates actually determined recurrence. As was an- ticipated, the thickness of the lesion (p = 0.0091) and whether or not the lesion was ulcerated (p = 0.0079), were determined to be significantly asso- ciated with recurrence events using the logistic regression model. This type of fixed effect analysis is rather a routine.
The authors have determined that a Bayesian consideration of the results would afford a more coherent interpretation of the effect of the model as- suming a random effect of the covariates of thickness and ulceration. Thus, using a Markov Chain Monte Carlo method of parameter estimation with non informative priors, one is able to obtain the posterior estimates and credible regions of estimates of these effects as well as their interaction on recurrence outcome. Graphical displays of convergence history and poste- rior densities affirm the stability of the results. We demonstrate how the model performs under relevant clinical conditions. The conditions are all tested using a Bayesian statistical approach allowing for the robust testing of the model parameters under various recursive partitioning conditions of the covariates and hyper parameters which we introduce into the model. The convergence of the parameters to stable values are seen in trace plots which follow the convergence patterns This allows for precise estimation for de- termining clinical conditions under which the response pattern will change. We give a numerical example of our results. The major platform for the theoretical development follows the Bayesian methodology and the multiple parameter logistic model with random effects having carefully chosen hyper parameters. We have done the basic infrastructure for the analysis using the commercially available WinBugs software employing the Markov Chain Monte Carlo (MCMC) methodology. The BUGS language allows a con- cise expression of the parametric model to denote stochastic (probabilistic) relationships and deterministic (logical) relationships.},
pages = {495--504},
volume = {8},
year = {2010},
date-added = {2010-07-01 22:34:06 +0200},
date-modified = {2010-07-01 22:35:38 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Singh-2010-Journal%20of%20Data%20Science_The%20Bayesian%20Multipl.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13492},
rating = {0}
}

@article{Pounds:2004p10041,
author = {Stan Pounds and Cheng Cheng},
journal = {Bioinformatics},
title = {Improving false discovery rate estimation},
abstract = {MOTIVATION: Recent attempts to account for multiple testing in the analysis of microarray data have focused on controlling the false discovery rate (FDR). However, rigorous control of the FDR at a preselected level is often impractical. Consequently, it has been suggested to use the q-value as an estimate of the proportion of false discoveries among a set of significant findings. However, such an interpretation of the q-value may be unwarranted considering that the q-value is based on an unstable estimator of the positive FDR (pFDR). Another method proposes estimating the FDR by modeling p-values as arising from a beta-uniform mixture (BUM) distribution. Unfortunately, the BUM approach is reliable only in settings where the assumed model accurately represents the actual distribution of p-values. METHODS: A method called the spacings LOESS histogram (SPLOSH) is proposed for estimating the conditional FDR (cFDR), the expected proportion of false positives conditioned on having k 'significant' findings. SPLOSH is designed to be more stable than the q-value and applicable in a wider variety of settings than BUM. RESULTS: In a simulation study and data analysis example, SPLOSH exhibits the desired characteristics relative to the q-value and BUM. AVAILABILITY: The Web site www.stjuderesearch.org/statistics/splosh.html has links to freely available S-plus code to implement the proposed procedure.},
affiliation = {Department of Biostatistics, MS 262 St Jude Children's Research Hospital, 332 N. Lauderdale Street, Memphis, TN 38105-2794, USA. stanley.pounds@stjude.org},
number = {11},
pages = {1737--45},
volume = {20},
year = {2004},
month = {Jul},
language = {eng},
keywords = {Algorithms, Sensitivity and Specificity, False Positive Reactions, Models: Genetic, Reproducibility of Results, Computer Simulation, Quality Control, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Models: Statistical, Benchmarking},
date-added = {2010-03-31 20:15:09 +0200},
date-modified = {2010-03-31 20:15:09 +0200},
doi = {10.1093/bioinformatics/bth160},
pii = {bth160},
pmid = {14988112},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Pounds-2004-Bioinformatics_Improving%20false%20disc.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10041},
rating = {0}
}

@article{Palmer:2008p14035,
author = {Michael W Palmer and Daniel J McGlinn and Lars Westerberg and Per Milberg},
journal = {Ecology},
title = {Indices for detecting differences in species composition: some simplifications of RDA and CCA},
abstract = {We provide algebraic simplifications for the redundancy analysis (RDA) eigenvalue and the canonical correspondence analysis (CCA) eigenvalue in the special case of permanent plots sampled twice. The indices for RDA and CCA are interrelated and are intuitively interpretable. These simplifications also apply to simple split-plot designs and to a balanced design with two independent samples.},
affiliation = {Department of Botany, Oklahoma State University, Stillwater, Oklahoma 74078, USA. mike.palmer@okstate.edu},
number = {6},
pages = {1769--71},
volume = {89},
year = {2008},
month = {Jun},
language = {eng},
keywords = {Environmental Monitoring, Ecosystem, Models: Biological},
date-added = {2010-08-09 10:06:22 +0200},
date-modified = {2010-08-09 10:06:25 +0200},
pmid = {18589540},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Palmer-2008-Ecology_Indices%20for%20detectin.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14035},
rating = {4}
}

@article{SalibianBarrera:2008p2978,
author = {M Salibian-Barrera and S Van Aelst and G Willems},
journal = {Statistical Methods and Applications},
title = {Fast and Robust Bootstrap},
abstract = {In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant to outliers than the classical bootstrap. This fast and robust bootstrap method is, under reasonable regularity conditions, asymptotically consistent. We describe the method in general and then consider its application to perform inference based on robust estimators for the linear regression and multivariate location-scatter models. In particular, we study confidence and prediction intervals and tests of hypotheses for linear regression models, inference for location-scatter parameters and principal components, and classification error estimation for discriminant analysis.},
number = {1},
pages = {41--71},
volume = {17},
year = {2008},
date-added = {2010-01-13 23:10:16 +0100},
date-modified = {2010-07-29 19:51:06 +0200},
doi = {10.1007/s10260-007-0048-6},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Salibian-Barrera-2008-Statistical%20Methods%20and%20Applications_Fast%20and%20Robust%20Boot.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2978},
rating = {0}
}

@article{Kelley:2007p10045,
author = {Ken Kelley},
journal = {Behavior research methods},
title = {Methods for the behavioral, educational, and social sciences: an R package},
abstract = {Methods for the Behavioral, Educational, and Social Sciences (MBESS; Kelley, 2007b) is an open source package for R (R Development Core Team, 2007b), an open source statistical programming language and environment. MBESS implements methods that are not widely available elsewhere, yet are especially helpful for the idiosyncratic techniques used within the behavioral, educational, and social sciences. The major categories of functions are those that relate to confidence interval formation for noncentral t, F, and chi2 parameters, confidence intervals for standardized effect sizes (which require noncentral distributions), and sample size planning issues from the power analytic and accuracy in parameter estimation perspectives. In addition, MBESS contains collections of other functions that should be helpful to substantive researchers and methodologists. MBESS is a long-term project that will continue to be updated and expanded so that important methods can continue to be made available to researchers in the behavioral, educational, and social sciences.},
affiliation = {Inquiry Methodolgy Program, Indiana University, Bloomington, Indiana 47405, USA. kkiii@indiana.edu},
number = {4},
pages = {979--84},
volume = {39},
year = {2007},
month = {Nov},
language = {eng},
keywords = {Software, Social Sciences, Psychology: Educational, Behavioral Sciences, Humans},
date-added = {2010-03-31 20:15:46 +0200},
date-modified = {2010-07-29 19:18:35 +0200},
pmid = {18183915},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kelley-2007-Behavior%20research%20methods_Methods%20for%20the%20beha.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10045},
rating = {0}
}

@article{Yu:2008p826,
author = {Kai Yu and Zhaoming Wang and Qizhai Li and Sholom Wacholder and David J Hunter and Robert N Hoover and Stephen Chanock and Gilles Thomas},
journal = {PLoS ONE},
title = {Population substructure and control selection in genome-wide association studies},
abstract = {Determination of the relevance of both demanding classical epidemiologic criteria for control selection and robust handling of population stratification (PS) represents a major challenge in the design and analysis of genome-wide association studies (GWAS). Empirical data from two GWAS in European Americans of the Cancer Genetic Markers of Susceptibility (CGEMS) project were used to evaluate the impact of PS in studies with different control selection strategies. In each of the two original case-control studies nested in corresponding prospective cohorts, a minor confounding effect due to PS (inflation factor lambda of 1.025 and 1.005) was observed. In contrast, when the control groups were exchanged to mimic a cost-effective but theoretically less desirable control selection strategy, the confounding effects were larger (lambda of 1.090 and 1.062). A panel of 12,898 autosomal SNPs common to both the Illumina and Affymetrix commercial platforms and with low local background linkage disequilibrium (pair-wise r(2)<0.004) was selected to infer population substructure with principal component analysis. A novel permutation procedure was developed for the correction of PS that identified a smaller set of principal components and achieved a better control of type I error (to lambda of 1.032 and 1.006, respectively) than currently used methods. The overlap between sets of SNPs in the bottom 5% of p-values based on the new test and the test without PS correction was about 80%, with the majority of discordant SNPs having both ranks close to the threshold. Thus, for the CGEMS GWAS of prostate and breast cancer conducted in European Americans, PS does not appear to be a major problem in well-designed studies. A study using suboptimal controls can have acceptable type I error when an effective strategy for the correction of PS is employed.},
affiliation = {Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America. yuka@mail.nih.gov},
number = {7},
pages = {e2551},
volume = {3},
year = {2008},
month = {Jan},
language = {eng},
keywords = {Linkage Disequilibrium, Population Groups, Humans, Genome: Human, Polymorphism: Single Nucleotide, Algorithms},
date-added = {2010-01-03 17:48:11 +0100},
date-modified = {2010-01-03 17:48:11 +0100},
doi = {10.1371/journal.pone.0002551},
pmid = {18596976},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Yu-2008-PLoS%20ONE_Population%20substruct.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p826},
read = {Yes},
rating = {0}
}

@article{Saddki:2009p12768,
author = {N Saddki and M M Noor and T H Norbanee and M A Rusli and Z Norzila and S Zaharah and A Sarimah and M Norsarwany and A R Asrenee and Z A Zarina},
journal = {AIDS Care},
title = {Validity and reliability of the Malay version of WHOQOL-HIV BREF in patients with HIV infection},
abstract = {This study determines the validity and reliability of the Malay version of the World Health Organization Quality of Life (WHOQOL) assessment instrument in patients with human immunodeficiency virus (HIV) infection. A cross-sectional study on 157 patients with HIV seen at the Infectious Disease Unit, Hospital Raja Perempuan Zainab II, Kota Bharu, Kelantan was conducted. Factor analysis identified five major domains: physical needs, spirituality, social relationship, psychological, and environment. Significant correlation was found between each domain scores and the general health questions. The instrument was able to discriminate between asymptomatic and symptomatic HIV positive patients for all domain scores except for the spirituality domain. The internal consistency of the five domains ranged from 0.70 to 0.83. The intraclass correlation coefficient (ICC) ranged from 0.60 to 0.87 across all domains. In conclusion, the Malay version of WHOQOL-HIV BREF is a valid and reliable instrument in assessing quality of life in HIV positive patients.},
affiliation = {School of Dental Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia. fizah@kb.usm.my},
number = {10},
pages = {1271--8},
volume = {21},
year = {2009},
month = {Oct},
language = {eng},
keywords = {World Health Organization, Quality of Life, Spirituality, Middle Aged, Reproducibility of Results, Adult, Questionnaires, Adolescent, HIV Infections, Male, Severity of Illness Index, Aged, Young Adult, Malaysia, Humans, Female},
date-added = {2010-06-18 20:31:25 +0200},
date-modified = {2010-06-18 20:31:25 +0200},
doi = {10.1080/09540120902803216},
pii = {915627095},
pmid = {20024703},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Saddki-2009-AIDS%20Care_Validity%20and%20reliabi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12768},
rating = {0}
}

@article{Maugis:2009p1697,
author = {C Maugis and M L Martin-Magniette and J P Tamby and J P Renou and A Lecharny and S Aubourg and G Celeux},
journal = {Modulad},
title = {S{\'e}lection de variables pour la classification par m{\'e}langes gaussiens pour pr{\'e}dire la fonction des g{\`e}nes orphelins},
abstract = {Biologists are interested in predicting the gene functions of sequenced genome organisms according to microarray transcriptome data. The microarray technology development allows one to study the whole genome in different experi- mental conditions. The information abundance may seem to be an advantage for the gene clustering. However, the structure of interest can often be contained in a sub- set of the available variables. The currently available variable selection procedures in model-based clustering assume that the irrelevant clustering variables are all in- dependent or are all linked with the relevant clustering variables. A more versatile variable selection model is proposed, taking into account three possible roles for each variable: The relevant clustering variables, the redundant variables and the inde- pendent variables. A model selection criterion and a variable selection algorithm are derived for this new variable role modelling. The interest of this new modelling for discovering the function of orphan genes is highlighted on a transcriptome dataset for the Arabidopsis thaliana plant.},
pages = {69--80},
volume = {40},
year = {2009},
keywords = {model-based clustering, transcriptome data, Variable selection, orphan genes},
date-added = {2010-01-09 18:51:57 +0100},
date-modified = {2010-01-09 18:55:24 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Maugis-2009-Modulad_S%C3%A9lection%20de%20variabl.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1697},
rating = {0}
}

@article{deRidder:2010p12342,
author = {Jeroen de Ridder and Alice Gerrits and Jan Bot and Gerald de Haan and Marcel Reinders and Lodewyk Wessels},
journal = {Bioinformatics},
title = {Inferring combinatorial association logic networks in multimodal genome-wide screens},
abstract = {MOTIVATION: We propose an efficient method to infer combinatorial association logic networks from multiple genome-wide measurements from the same sample. We demonstrate our method on a genetical genomics dataset, in which we search for Boolean combinations of multiple genetic loci that associate with transcript levels. RESULTS: Our method provably finds the global solution and is very efficient with runtimes of up to four orders of magnitude faster than the exhaustive search. This enables permutation procedures for determining accurate false positive rates and allows selection of the most parsimonious model. When applied to transcript levels measured in myeloid cells from 24 genotyped recombinant inbred mouse strains, we discovered that nine gene clusters are putatively modulated by a logical combination of trait loci rather than a single locus. A literature survey supports and further elucidates one of these findings. Due to our approach, optimal solutions for multi-locus logic models and accurate estimates of the associated false discovery rates become feasible. Our algorithm, therefore, offers a valuable alternative to approaches employing complex, albeit suboptimal optimization strategies to identify complex models. AVAILABILITY: The MATLAB code of the prototype implementation is available on: http://bioinformatics.tudelft.nl/ or http://bioinformatics.nki.nl/.},
affiliation = {Delft Bioinformatics Lab, Delft University of Technology, 2628 CD Delft, The Netherlands.},
number = {12},
pages = {i149--57},
volume = {26},
year = {2010},
month = {Jun},
language = {eng},
date-added = {2010-06-12 10:21:18 +0200},
date-modified = {2010-06-12 10:21:18 +0200},
doi = {10.1093/bioinformatics/btq211},
pii = {btq211},
pmid = {20529900},
local-url = {file://localhost/Users/chl/Dropbox/Papers/de%20Ridder-2010-Bioinformatics_Inferring%20combinator.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12342},
rating = {0}
}

@article{Barth:2005p11710,
author = {J{\"u}rgen Barth and Colin R Martin},
journal = {Health Qual Life Outcomes},
title = {Factor structure of the Hospital Anxiety and Depression Scale (HADS) in German coronary heart disease patients},
abstract = {BACKGROUND: Depression and anxiety in patients with coronary heart disease (CHD) are associated with a poorer prognosis. Therefore the screening for psychological distress is strongly recommended in cardiac rehabilitation. The Hospital Anxiety and Depression Scale (HADS) is a widely used screening tool that has demonstrated good sensitivity and specificity for mental disorders. METHODS: We assessed mental distress in in-patient cardiac rehabilitation in Germany. The factor structure of the German language version of the HADS was investigated in 1320 patients with CHD. Exploratory factor analysis and confirmatory factor analysis were used to determine the underlying factor structure of the instrument. RESULTS: Three-factor models were found to offer a superior fit to the data compared to two-factor (anxiety and depression) models. The German language HADS performs similarly to the English language version of the instrument in CHD patients. The German language HADS fundamentally comprises a tri-dimensional underlying factor structure (labelled by Friedman et al. as psychomotor agitation, psychic anxiety and depression). CONCLUSION: Despite of clinical usefulness in screening for mental disturbances the construct validity of the HADS is not clear. The resulting scores of the tri-dimensional model can be interpreted as psychomotor agitation, psychic anxiety, and depression in individual patient data or clinical investigations.},
affiliation = {University of Freiburg - Institute of Psychology, Department of Rehabilitation Psychology, 79085 Freiburg, Germany. mail@juergen-barth.de},
pages = {15},
volume = {3},
year = {2005},
month = {Jan},
language = {eng},
keywords = {China, Psychometrics, Rehabilitation Centers, Sickness Impact Profile, Acute Disease, Middle Aged, Depression, Female, Questionnaires, Anxiety, Factor Analysis: Statistical, Germany, Hospitalization, Psychiatric Status Rating Scales, Humans, Aged: 80 and over, Male, Myocardial Infarction, Translating, Aged},
date-added = {2010-05-14 21:32:53 +0200},
date-modified = {2010-05-14 21:32:56 +0200},
doi = {10.1186/1477-7525-3-15},
pii = {1477-7525-3-15},
pmid = {15771778},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Barth-2005-Health%20and%20Quality%20of%20Life%20Outcomes_Factor%20structure%20of.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11710},
read = {Yes},
rating = {4}
}

@article{Raju:2002p11161,
author = {Nambury S Raju and Larry J Laffitte and Barbara M Byrne},
journal = {J Appl Psychol},
title = {Measurement equivalence: a comparison of methods based on confirmatory factor analysis and item response theory},
abstract = {Current interest in the assessment of measurement equivalence emphasizes 2 major methods of analysis. The authors offer a comparison of a linear method (confirmatory factor analysis) and a nonlinear method (differential item and test functioning using item response theory) with an emphasis on their methodological similarities and differences. The 2 approaches test for the equality of true scores (or expected raw scores) across 2 populations when the latent (or factor) score is held constant. Both approaches can provide information about when measurement nonequivalence exists and the extent to which it is a problem. An empirical example is used to illustrate the 2 approaches.},
affiliation = {Institute of Psychology, Illinois Institute of Technology, Chicago 60616-3793, USA. raju@iit.edu},
number = {3},
pages = {517--29},
volume = {87},
year = {2002},
month = {Jun},
language = {eng},
keywords = {Factor Analysis: Statistical, Psychological Theory, Humans, Models: Psychological},
date-added = {2010-04-25 20:28:39 +0200},
date-modified = {2010-04-25 20:28:43 +0200},
pmid = {12090609},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Raju-2002-J%20Appl%20Psychol_Measurement%20equivale.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11161},
rating = {4}
}

@article{Robins:1981,
author = {L Robins and JE Helzer and J Croughan and KS Radcliff},
journal = {Arch Gen Psychiatry},
title = {National Institute of Mental Health Diagnostic Interview Schedule: its history, characteristics and validity},
abstract = {A new interview schedule allows lay interviewers or clinicians to make psychiatric diagnoses according to DSM-III criteria, Feighner criteria, and Research Diagnostic Criteria. It is being used in a set of epidemiological studies sponsored by the National Institute of Mental Health Center for Epidemiological Studies. Its accuracy has been evaluated in a test-retest design comparing independent administrations by psychiatrists and lay interviewers to 216 subjects (inpatients, outpatients, ex-patients, and nonpatients).},
pages = {381--389},
volume = {38},
year = {1981},
date-added = {2010-01-03 19:36:09 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1038},
rating = {0}
}

@article{Ruczinski2004,
author = {I Ruczinski and C Kooperberg and M LeBlanc},
journal = {Journal of Multivariate Analysis},
title = {Exploring Interactions in High Dimensional Genomic Data: An Overview of Logic Regression, With Applications},
pages = {178--195},
volume = {90},
year = {2004},
date-added = {2010-01-12 14:26:46 +0100},
date-modified = {2010-01-12 14:26:52 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2518},
rating = {0}
}

@article{Buchkremer:2010p9371,
author = {Stefan Buchkremer and Jasmin Hendel and Markus Krupp and Arndt Weinmann and Kai Schlamp and Thorsten Maass and Frank Staib and Peter R Galle and Andreas Teufel},
journal = {BMC Genomics},
title = {Library of molecular associations: curating the complex molecular basis of liver diseases},
abstract = {ABSTRACT: BACKGROUND: Systems biology approaches offer novel insights into the development of chronic liver diseases. Current genomic databases supporting

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