text:
2},
pages = {275--282},
volume = {17},
year = {1987},
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/p1044},
rating = {0}
}

@article{Aitkin:1999p6786,
author = {M Aitkin},
journal = {Biometrics},
title = {A general maximum likelihood analysis of variance components in generalized linear models},
abstract = {This paper describes an EM algorithm for nonparametric maximum likelihood (ML) estimation in generalized linear models with variance component structure. The algorithm provides an alternative analysis to approximate MQL and PQL analyses (McGilchrist and Aisbett, 1991, Biometrical Journal 33, 131-141; Breslow and Clayton, 1993; Journal of the American Statistical Association 88, 9-25; McGilchrist, 1994, Journal of the Royal Statistical Society, Series B 56, 61-69; Goldstein, 1995, Multilevel Statistical Models) and to GEE analyses (Liang and Zeger, 1986, Biometrika 73, 13-22). The algorithm, first given by Hinde and Wood (1987, in Longitudinal Data Analysis, 110-126), is a generalization of that for random effect models for overdispersion in generalized linear models, described in Aitkin (1996, Statistics and Computing 6, 251-262). The algorithm is initially derived as a form of Gaussian quadrature assuming a normal mixing distribution, but with only slight variation it can be used for a completely unknown mixing distribution, giving a straightforward method for the fully nonparametric ML estimation of this distribution. This is of value because the ML estimates of the GLM parameters can be sensitive to the specification of a parametric form for the mixing distribution. The nonparametric analysis can be extended straightforwardly to general random parameter models, with full NPML estimation of the joint distribution of the random parameters. This can produce substantial computational saving compared with full numerical integration over a specified parametric distribution for the random parameters. A simple method is described for obtaining correct standard errors for parameter estimates when using the EM algorithm. Several examples are discussed involving simple variance component and longitudinal models, and small-area estimation.},
affiliation = {Department of Statistics, University of Newcastle, UK. Murray.Aitkin@newcastle.ac.uk},
number = {1},
pages = {117--28},
volume = {55},
year = {1999},
month = {Mar},
language = {eng},
keywords = {Algorithms, Female, Male, Obesity, Humans, Child, Biometry, Lung Neoplasms, Middle Aged, Myocardial Infarction, Analysis of Variance, Adrenergic beta-Antagonists, Missouri, Likelihood Functions, Epidemiologic Methods, Clinical Trials as Topic, Linear Models},
date-added = {2010-03-05 22:25:22 +0100},
date-modified = {2010-03-05 22:25:22 +0100},
pmid = {11318145},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Aitkin-1999-Biometrics_A%20general%20maximum%20li.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6786},
rating = {0}
}

@article{Cook:2010p11507,
author = {Trevor M Cook and Jianli Wang},
journal = {BMC Psychiatry},
title = {Descriptive epidemiology of stigma against depression in a general population sample in Alberta},
abstract = {ABSTRACT: BACKGROUND: Mental health illnesses, such as depression, are responsible for a growing disease burden worldwide. Unfortunately, effective treatment is often impeded by stigmatizing attitudes of other individuals, which have been found to lead to a number of negative consequences including reduced help-seeking behavior and increased social distance. Despite the high prevalence of depression in Canada, little research has been conducted to examine stigma against depression in the Canadian general population. Such information is crucial to understanding the current state of stigmatizing attitudes in the Canadian communities, and framing future stigma reduction initiatives. The objectives of this study were to estimate the percentages of various stigmatizing attitudes toward depression in a general population sample and to compare the percentages by demographics and socioeconomic characteristics. METHODS: We conducted a cross-sectional telephone survey in Alberta, Canada, between February and June 2006. Random digit dialing was used to recruit participants who were aged 18-74 years old (n = 3047). Participants were presented a case vignette describing a depressed individual, and responded to a 9-item Personal Stigma questionnaire. The percentages of stigmatizing attitudes were estimated and compared by demographic and socioeconomic variables. RESULTS: Among the participants, 45.9% endorsed that depressed individuals were unpredictable and 21.9% held the view that people with depression were dangerous. Significant differences in stigmatizing attitudes were found by gender, age, education, and immigration status. A greater proportion of men than women held stigmatizing views on each stigma item. No consistent trend emerged by age in stigma against depression. Participants with higher levels of education reported less stigmatizing attitudes than those with less education. Participants who were not born in Canada were more likely to hold stigmatizing attitudes than those who were born in Canada. CONCLUSION: In the general population, stigmatizing attitudes towards depression differ by demographic characteristics. Men, those with less education and immigrants should be the targets of stigma reduction campaigns.},
number = {1},
pages = {29},
volume = {10},
year = {2010},
month = {Apr},
language = {ENG},
date-added = {2010-05-01 17:29:25 +0200},
date-modified = {2010-05-01 17:29:25 +0200},
doi = {10.1186/1471-244X-10-29},
pii = {1471-244X-10-29},
pmid = {20398429},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Cook-2010-BMC%20Psychiatry_Descriptive%20epidemio-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11507},
rating = {0}
}

@article{Tsoumakas:2006p14040,
author = {G Tsoumakas and I Katakis},
title = {Multi-Label Classification: An Overview},
abstract = {Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative experimental results of certain multi-label classification methods. It also contributes the definition of concepts for the quantification of the multi-label nature of a data set.},
year = {2006},
date-added = {2010-08-10 12:36:20 +0200},
date-modified = {2010-08-10 12:37:19 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Tsoumakas-2006-_Multi-Label%20Classifi.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14040},
rating = {0}
}

@article{Shimizu:2005,
author = {Y Shimizu and Bruno D Zumbo},
journal = {Japan Language Testing Association Journal},
title = {A logistic regression for Differential Item Functioning primer},
number = {110-124},
volume = {7},
year = {2005},
date-added = {2010-01-03 19:38:21 +0100},
date-modified = {2010-07-29 20:46:35 +0200},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1173},
read = {Yes},
rating = {0}
}

@misc{Junker:2000c,
author = {B Junker},
journal = {Miscellaneous},
title = {Some topics in nonparametric and parametric IRT, with some thoughts about the future},
year = {2000},
date-added = {2010-01-10 11:33:09 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Junker-2000-Miscellaneous_Some%20topics%20in%20nonpa.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2114},
rating = {0}
}

@article{Janssen:1999,
author = {R Janssen and Paul De Boeck},
journal = {Multivariate Behavioral Research},
title = {Confirmatory analyses of componential test structure using multidimensional item response theory},
number = {2},
pages = {245--268},
volume = {34},
year = {1999},
date-added = {2010-01-10 11:33:22 +0100},
date-modified = {2010-07-29 20:46:12 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Janssen-1999-Multivariate%20Behavioral%20Research_Confirmatory%20analyse.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1977},
rating = {0}
}

@article{Sun:2010p3635,
author = {J Sun and J Raz and J J Faraway},
title = {Confidence bands for growth and response curves},
date-added = {2010-01-16 19:25:53 +0100},
date-modified = {2010-01-16 19:31:39 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Sun--_Confidence%20bands%20for.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3635},
rating = {0}
}

@article{Haga:2009p5145,
author = {Monika Haga},
journal = {Phys Ther},
title = {Physical fitness in children with high motor competence is different from that in children with low motor competence},
abstract = {BACKGROUND: Physical therapists often treat children with low motor competence. Earlier studies have demonstrated poor physical fitness outcomes and a reduced level of physical activity for these children compared with their peers with normal motor skills. OBJECTIVE: The aim of this study was to examine how physical fitness developed over time in 2 groups of children: those with a low level of competence in motor skills (low motor competence [LMC]), and those with a high level of competence in motor skills (high motor competence [HMC]). DESIGN AND METHODS: From an initial sample of 67 children, a group of 18 was identified as having HMC or LMC on the Movement Assessment Battery for Children and was selected for the present study. Eight children (3 girls and 5 boys) comprised the LMC group, and 10 children (4 girls and 6 boys) made up the HMC group. A longitudinal design was implemented, and physical fitness in the 2 groups was evaluated by measuring different fitness components over a period of 32 months. RESULTS: A mixed-effects analysis of variance revealed significant main effects for group and for time but no group x time interaction effect. The LMC group performed less well on all physical fitness measures than the HMC group, and both groups scored significantly higher on the physical fitness test after a period of 32 months. The lack of a significant interaction effect indicated that the relative differences in physical fitness outcomes between the groups were relatively constant over time. LIMITATIONS: This study was limited by the small sample size and lack of assessment of anthropometric variables and children's perceived self-efficacy. CONCLUSIONS: Children with LMC are likely to have poor physical fitness compared with children with HMC. The differences in physical fitness outcomes between the groups were relatively constant over time. Given that various physical fitness components are linked to different health outcomes, these consequences are matters of concern for both current health status and later health status in children with LMC.},
affiliation = {Department of Physiotherapy, Faculty of Health Education and Social Work, S{\o}r-Tr{\o}ndelag University College, Trondheim, 7004 Norway. monika.haga@hist.no},
number = {10},
pages = {1089--97},
volume = {89},
year = {2009},
month = {Oct},
language = {eng},
keywords = {Male, Female, Motor Activity, Case-Control Studies, Humans, Physical Fitness, Child, Motor Skills, Child Development, Exercise Tolerance, Cohort Studies, Motor Skills Disorders},
date-added = {2010-02-05 20:19:43 +0100},
date-modified = {2010-02-05 20:19:44 +0100},
doi = {10.2522/ptj.20090052},
pii = {ptj.20090052},
pmid = {19679648},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5145},
rating = {0}
}

@article{Chen:2007p9661,
author = {Andrew C H Chen and Bernice Porjesz and Madhavi Rangaswamy and Chella Kamarajan and Yongqiang Tang and Kevin A Jones and David B Chorlian and Arthur T Stimus and Henri Begleiter},
journal = {Alcohol Clin Exp Res},
title = {Reduced frontal lobe activity in subjects with high impulsivity and alcoholism},
abstract = {OBJECTIVE: Impulsivity is an important characteristic of many psychiatric disorders, including substance-related disorders. These disinhibitory disorders have a similar underlying genetic diathesis, with each disorder representing a different expression of the same underlying genetic liability. This study assessed whether there is a relationship between impulsivity and alcohol dependence, and their correlations with P3 (P300) amplitude, a proposed endophenotype of alcoholism. METHODS: Healthy control subjects (n=58) and subjects with DSM-IV diagnosis of alcohol dependence (n=57) were assessed with a visual oddball task. Event-Related Potentials (ERPs) were recorded from 61 scalp electrodes and P3 amplitudes measured. Barratt Impulsiveness Scale (BIS), version 11, was used to evaluate impulsivity. Source localization of P3 was computed using low-resolution brain electromagnetic tomography (LORETA). RESULTS: Alcoholic subjects manifested reductions in target P3 amplitudes (p<0.0001). Using LORETA, significantly reduced activation was mapped in the cingulate, medial, and superior frontal regions in alcoholic subjects and highly impulsive subjects. Alcoholic subjects had significantly higher scores on the BIS (p<0.0001) than nonalcoholic individuals. There were significant negative correlations between total scores on BIS and P3 amplitude (r=-0.274, p=0.003, on Pz; r=-0.250, p=0.007, on Cz). CONCLUSIONS: Our results demonstrate a strong frontal focus of reduced activation during processing of visual targets in alcoholic subjects and individuals with higher impulsivity. The findings suggest that impulsivity may be an important factor that underlies the pathogenesis of alcohol dependence. Studies are underway to examine the relationship between impulsivity and ERPs in offspring of alcoholic subjects, and to identify genes associated with the underlying predisposition involved in disinhibitory disorders.},
affiliation = {Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, 450 Clarkson Avenue, Brooklyn, NY 11203, USA.},
number = {1},
pages = {156--65},
volume = {31},
year = {2007},
month = {Jan},
language = {eng},
keywords = {Visual Perception, Psychiatric Status Rating Scales, Frontal Lobe, Adult, Signal Processing: Computer-Assisted, Male, Female, Data Interpretation: Statistical, Alcoholism, Humans, Impulsive Behavior, Evoked Potentials, Electroencephalography},
date-added = {2010-03-25 14:58:13 +0100},
date-modified = {2010-07-29 19:13:02 +0200},
doi = {10.1111/j.1530-0277.2006.00277.x},
pii = {ACER277},
pmid = {17207114},
URL = {http://www3.interscience.wiley.com/journal/118520080/abstract},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9661},
rating = {0}
}

@article{Tracy:2002p1693,
author = {C A Tracy and H Widom},
journal = {ICM},
title = {Distribution Functions for Largest Eigenvalues and Their Applications},
abstract = {It is now believed that the limiting distribution function of the largest eigenvalue in the three classic random matrix models GOE, GUE and GSE describe new universal limit laws for a wide variety of processes arising in mathematical physics and interacting particle systems. These distribution functions, expressed in terms of a certain Painlev ́e II function, are described and their occurences surveyed.},
number = {1-3},
pages = {1--10},
volume = {III},
year = {2002},
date-added = {2010-01-09 18:47:25 +0100},
date-modified = {2010-01-09 18:48:18 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Tracy-2002-ICM_Distribution%20Functio.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1693},
rating = {0}
}

@article{Onatski:2007p5067,
author = {A Onatski},
title = {Tracy-Widom limit for the largest eigenvalues of singular complex Wishart matrices},
abstract = {This paper establishes the fact that the joint distribution of the centered and scaled several largest eigenvalues of a p-dimensional complex Wishart matrix WC (Ω, n) con- verge to the joint Tracy-Widom distribution when n and p tend to infinity so that n/p remains in a compact subset of (0, ∞) . Our result extends Baik et al. (2005) and El Karoui (2007) who study the asymptotic distribution of the single largest eigenvalue of WC (Ω, n) as n and p tend to infinity so that n/p remains in a compact subset of [1, ∞) . We show how our result can be used to find a 95% confidence set for the number of common factors in excess stock returns.},
year = {2007},
date-added = {2010-02-05 20:09:37 +0100},
date-modified = {2010-02-05 20:10:04 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Onatski-2007-_Tracy-Widom%20limit%20fo.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5067},
rating = {0}
}

@article{Heo:2005p12562,
author = {Moonseong Heo and Andrew C Leon},
journal = {Stat Med},
title = {Comparison of statistical methods for analysis of clustered binary observations},
abstract = {When correlated observations are obtained in a randomized controlled trial, the assumption of independence among observations within cluster likely will not hold because the observations share the same cluster (e.g. clinic, physician, or subject). Further, the outcome measurements of interest are often binary. The objective of this paper is to compare the performance of four statistical methods for analysis of clustered binary observations: namely (1) full likelihood method; (2) penalized quasi-likelihood method; (3) generalized estimating equation method; (4) fixed-effects logistic regression method. The first three methods take correlations into account in inferential processes whereas the last method does not. Type I error rate, power, bias, and standard error are compared across the four statistical methods through computer simulations under varying effect sizes, intraclass correlation coefficients, number of clusters, and number of observations per cluster, including large numbers 20 and 100 of observations per cluster. The results show that the performance of the full likelihood and the penalized quasi-likelihood methods is superior for analysis of clustered binary observations, and is not necessarily inferior to that of the fixed-effects logistic regression fit even when within-cluster correlations are zero.},
affiliation = {Department of Psychiatry, Weill Medical College of Cornell University, Westchester Division, White Plains, NY 10605, USA. moh2002@med.cornell.edu},
number = {6},
pages = {911--23},
volume = {24},
year = {2005},
month = {Mar},
language = {eng},
keywords = {Humans, Likelihood Functions, Monte Carlo Method, Cluster Analysis, Computer Simulation, Data Interpretation: Statistical, Randomized Controlled Trials as Topic},
date-added = {2010-06-15 22:16:54 +0200},
date-modified = {2010-06-15 22:16:54 +0200},
doi = {10.1002/sim.1958},
pmid = {15558576},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Heo-2005-Stat%20Med_Comparison%20of%20statis.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12562},
rating = {0}
}

@article{Francois:2007p3549,
author = {R Fran{\c c}ois and J M Marin},
journal = {Modulad},
title = {Initiation {\`a} R},
abstract = {Ce document a pour objectif de familiariser son lecteur avec le langage et l'en- vironnement de programmation R dans sa version 2.4.1 (d{\'e}cembre 2006). Il ne constitue pas une r{\'e}f{\'e}rence compl{\`e}te mais plut{\^o}t un aper{\c c}u des capacit{\'e}s de R et un point d'entr{\'e}e vers d'autres documents plus complets. {\`A} plusieurs reprises, le lecteur est invit{\'e} {\`a} ex{\'e}cuter les commandes propos{\'e}es dans une session R afin de s'habituer {\`a} la syntaxe.},
pages = {83--101},
volume = {37},
year = {2007},
date-added = {2010-01-15 21:01:39 +0100},
date-modified = {2010-01-15 21:02:33 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Fran%C3%A7ois-2007-Modulad_Initiation%20a%CC%80%20R.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3549},
rating = {0}
}

@article{Verstralen:2001aa,
author = {Huub Verstralen and Timo M Bechger and Gunter Maris},
title = {The Combined Use of Classical Test Theory and Item Response Theory},
abstract = {The present paper is about a number of relations between concepts of models from classical test theory (CTT), such as reliability, and item response theory (IRT). It is demonstrated that the use of IRT models allows us to extend the range of applications of CTT, and investigate relations among concepts that are central in CTT such as reliability and item-test correlation.},
year = {2001},
month = {Sep},
date-added = {2010-01-03 19:39:03 +0100},
date-modified = {2010-07-29 20:43:29 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Verstralen-2001-_The%20Combined%20Use%20of.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1190},
rating = {0}
}

@article{Scharpf:2010p2505,
author = {R B Scharpf and I Ruczinski and B Carvalho},
title = {A multilevel model to address batch effects in copy number estimation using SNP arrays},
abstract = {Submicroscopic changes in chromosomal DNA copy number dosage are common and have been implicated in many heritable diseases and cancers. Recent high-throughput technologies have a resolution that permits the detection of segmental changes in DNA copy number that span thousands of basepairs across the genome. Genome-wide association studies (GWAS) may simultaneously screen for copy number-phenotype and SNP-phenotype associations as part of the analytic strategy. However, genome-wide array analyses are particularly susceptible to batch effects as the logistics of preparing DNA and processing thousands of arrays often involves multiple laboratories and technicians, or changes over calendar time to the reagents and laboratory equipment. Failure to adjust for batch effects can lead to incorrect inference and requires inefficient post-hoc quality control procedures that exclude regions that are associated with batch. Our work extends previous model-based approaches for copy number estima- tion by explicitly modeling batch effects and using shrinkage to improve locus-specific estimates of copy number uncertainty. Key features of this approach include the use of diallelic genotype calls from experimental data to estimate batch- and locus-specific parameters of background and signal without the requirement of training data. We illustrate these ideas using a study of bipolar disease and a study of chromosome 21 trisomy. The former has batch effects that dominate much of the observed variation in quantile-normalized intensities, while the latter illustrates the robustness of our approach to datasets where as many as 25% of the samples have altered copy number. Locus-specific estimates of copy number can be plotted on the copy-number scale to investigate mosaicism and guide the choice of appropriate downstream approaches for smoothing the copy number as a function of physical position. The software is open source and implemented in the R package CRLMM available at Bioconductor (http:www.bioconductor.org).},
date-added = {2010-01-12 13:42:23 +0100},
date-modified = {2010-01-12 13:43:55 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Scharpf--_A%20multilevel%20model%20t.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2505},
rating = {0}
}

@article{Hill:1965,
author = {AB Hill},
journal = {Proceedings of the Royal Society of Medicine},
title = {The environment and disease: association or causation?},
pages = {295--300},
volume = {58},
year = {1965},
date-added = {2010-01-03 19:36:10 +0100},
date-modified = {2010-01-03 19:36:10 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1056},
rating = {0}
}

@article{Ferron:2007p884,
author = {John M Ferron and Melinda R Hess},
journal = {Journal of Educational and Behavioral Statistics},
title = {Estimation in SEM: A Concrete Example},
abstract = {A concrete example is used to illustrate maximum likelihood estimation of a structural equation model with two unknown parameters. The fitting function is found for the example, as are the vector of first-order partial derivatives, the matrix of second-order partial derivatives, and the estimates obtained from each iteration of the Newton-Raphson algorithm. The goal is to provide a concrete illustration to help those learning structural equation modeling bridge the gap between the verbal descriptions of estimation procedures and the mathematical definition of these procedures provided in the technical literature.},
affiliation = {University of South Florida},
number = {1},
pages = {110--120},
volume = {32},
year = {2007},
keywords = {structural equation modeling, teaching statistics, Newton-Raphson, parameter estimation, maximum likelihood},
date-added = {2010-01-03 18:22:42 +0100},
date-modified = {2010-07-29 19:33:45 +0200},
doi = {10.3102/1076998606298025},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Ferron-2007-Journal%20of%20Educational%20and%20Behavioral%20Statistics_Estimation%20in%20SEM%20A.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p884},
rating = {0}
}

@article{Vacha-Haase:2004,
author = {T Vacha-Haase and B Thompson},
journal = {Counseling Psychology},
title = {How to estimate and interpret various effect sizes},
pages = {473--481},
volume = {51},
year = {2004},
date-added = {2010-01-10 11:33:21 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1934},
rating = {0}
}

@article{Willeit:2003p8020,
author = {M Willeit and N Praschak-Rieder and A Neumeister and P Zill and F Leisch and J Stastny and E Hilger and N Thierry and A Konstantinidis and D Winkler and K Fuchs and W Sieghart and H Aschauer and M Ackenheil and B Bondy and S Kasper},
journal = {Mol Psychiatry},
title = {A polymorphism (5-HTTLPR) in the serotonin transporter promoter gene is associated with DSM-IV depression subtypes in seasonal affective disorder},
abstract = {Serotonergic mechanisms are thought to play an important role in the pathogenesis of seasonal affective disorder (SAD). The expression of the serotonin transporter (5-HTT) is regulated in part by an insertion/deletion polymorphism in the serotonin transporter gene promoter region (5-HTTLPR). The 5-HTTLPR short allele (s) has been associated with anxiety-related personality traits and depression, and one study observed an association between the 5-HTTLPR s-allele and SAD and the trait of seasonality. We genotyped 138 SAD patients and 146 healthy volunteers with low seasonality for 5-HTTLPR. No difference between patients and controls was found for genotype distribution and s-allele frequency. However, genotype distribution and allele frequencies were strongly associated with DSM-IV depression subtypes. Melancholic depression was associated with the 5-HTTLPR long (l) allele and atypical depression with the 5-HTTLPR s-allele (two-sided Fisher's exact test: genotype distribution: P=0.0038; allele frequencies: P=0.007). Our data are compatible with the hypothesis of a disease process that is not causally related to 5-HTTLPR, but involves 5-HT neurotransmission and 5-HTTLPR somewhere on its way to phenotypic disease expression.},
affiliation = {Department of General Psychiatry, University Hospital of Psychiatry, Vienna, Austria. matthaeus.willeit@camhpet.ca},
number = {11},
pages = {942--6},
volume = {8},
year = {2003},
month = {Nov},
language = {eng},
keywords = {Depressive Disorder: Major, Gene Frequency, Promoter Regions: Genetic, Nerve Tissue Proteins, Membrane Transport Proteins, Polymorphism: Genetic, Carrier Proteins, Genotype, Serotonin Plasma Membrane Transport Proteins, Bipolar Disorder, Humans, Seasonal Affective Disorder, Membrane Glycoproteins},
date-added = {2010-03-20 19:37:02 +0100},
date-modified = {2010-03-20 19:37:02 +0100},
doi = {10.1038/sj.mp.4001392},
pii = {4001392},
pmid = {14593433},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Willeit-2003-Mol%20Psychiatry_A%20polymorphism%20(5-HT.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p8020},
rating = {0}
}

@article{Gao:2009p3031,
author = {Hong Gao and Julie M Granka and Marcus W Feldman},
journal = {Genetics},
title = {On the Classification of Epistatic Interactions},
abstract = {Modern genome-wide association studies are characterized by the problem of "missing heritability". Epistasis, or genetic interaction, has been suggested as a possible explanation for the relatively small contribution of single significant associations to the fraction of variance explained. Of particular concern to investigators of genetic interactions is how to best represent and define epistasis. Previous studies have found that the use of different quantitative definitions for genetic interaction can lead to different conclusions when constructing genetic interaction networks and when addressing evolutionary questions. We suggest that instead, multiple representations of epistasis, or epistatic "subtypes," may be valid within a given system. Selecting among these epistatic subtypes may provide additional insight into the biological and functional relationships among pairs of genes. In this study, we propose maximum likelihood and model selection methods in a hypothesis-testing framework to choose epistatic subtypes which best represent functional relationships for pairs of genes based on fitness data from both single and double mutants in haploid systems. We gauge the performance of our method with extensive simulations under various interaction scenarios. Our approach performs reasonably well in detecting the most likely epistatic subtype for pairs of genes, as well as in reducing bias when estimating the epistatic parameter (epsilon). We apply our approach to two available datasets from yeast (Saccharomyces cerevisiae), and demonstrate through overlap of our identified epistatic pairs with experimentally-verified interactions and functional links that our results are likely of biological significance in understanding interaction mechanisms. We anticipate that our method will improve detection of epistatic interactions and will help to unravel the mysteries of complex biological systems.},
affiliation = {Stanford University School of Medicine.},
pages = {},
year = {2009},
month = {Dec},
language = {ENG},
date-added = {2010-01-14 11:24:35 +0100},
date-modified = {2010-07-29 19:27:13 +0200},
doi = {10.1534/genetics.109.111120},
pii = {genetics.109.111120},
pmid = {20026678},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Gao-2009-Genetics_On%20the%20Classificatio.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3031},
rating = {0}
}

@article{Martin:1964,
author = {J Martin},
journal = {British Journal of Social and Clinical Psychology},
title = {Acquiescence--measurement and theory},
pages = {216--225},
volume = {3},
year = {1964},
date-added = {2010-01-03 19:34:17 +0100},
date-modified = {2010-01-03 19:34:18 +0100},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1012},
rating = {0}
}

@article{deLeeuw:2005p4271,
author = {Jan de Leeuw},
title = {Unidimensional scaling},
year = {2005},
date-added = {2010-01-23 21:38:49 +0100},
date-modified = {2010-07-29 20:45:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/de%20Leeuw-2005-_Unidimensional%20scali.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4271},
rating = {0}
}

@article{Bolton:2006p5242,
author = {Derek Bolton and Thalia C Eley and Thomas G O'Connor and Sean Perrin and Sophia Rabe-Hesketh and Fr{\"u}hling Rijsdijk and Patrick Smith},
journal = {Psychol Med},
title = {Prevalence and genetic and environmental influences on anxiety disorders in 6-year-old twins},
abstract = {BACKGROUND: Prevalence of childhood anxiety disorders at specific ages and genetic etiological influences on anxiety disorders in young children have been little studied. The present study reports prevalence estimates in a community sample of 6-year-old twins, and patterns of genetic and environmental influences on these early-onset anxiety disorders. METHOD: Using a two-phase design 4,662 twin-pairs were sampled and 854 pairs were assessed in the second phase by maternal-informant diagnostic interview using DSM-IV criteria. RESULTS: The most common conditions were separation anxiety disorder (SAD) [2.8%, 95% confidence interval (CI) 2.1-3.8, for current disorder] and specific phobia (10.8%, 95% CI 8.4-13.6, for current disorder). Behavioral genetic modeling was feasible for these two conditions, applied to two phenotypes: symptom syndrome (regardless of impairment) and the narrower one of diagnostic status (symptom syndrome with associated impairment). The heritability estimate for SAD diagnostic status was high, 73%, with remaining variance attributed to non-shared environment. The heritability estimates for specific phobia were also high, 80% for the symptom syndrome and 60% for diagnostic status, with remaining variance attributed in both cases to non-shared environment. CONCLUSIONS: Compared with previous epidemiological surveys of children and adolescents in wide age-bands, the current estimates suggest that rates of anxiety disorders assessed in young childhood are generally at least as high and perhaps higher compared with those found in older children. The heritability estimates suggest that the genetic effects on these early-onset anxiety disorders are substantial and more significant than environmental effects, whether shared or non-shared.},
affiliation = {Institute of Psychiatry, Kings College London, UK. d.bolton@iop.kcl.ac.uk},
number = {3},
pages = {335--44},
volume = {36},
year = {2006},
month = {Mar},
language = {eng},
keywords = {Prevalence, Female, Child, Male, Diagnostic and Statistical Manual of Mental Disorders, Anxiety Disorders, Interview: Psychological, Humans, Environment, Social Environment, Twins},
date-added = {2010-02-09 21:57:25 +0100},
date-modified = {2010-02-09 21:57:25 +0100},
doi = {10.1017/S0033291705006537},
pii = {S0033291705006537},
pmid = {16288680},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5242},
rating = {0}
}

@article{Cho:2009p7187,
author = {Seoae Cho and Haseong Kim and Sohee Oh and Kyunga Kim and Taesung Park},
journal = {BMC Proc},
title = {Elastic-net regularization approaches for genome-wide association studies of rheumatoid arthritis},
abstract = {ABSTRACT : The current trend in genome-wide association studies is to identify regions where the true disease-causing genes may lie by evaluating thousands of single-nucleotide polymorphisms (SNPs) across the whole genome. However, many challenges exist in detecting disease-causing genes among the thousands of SNPs. Examples include multicollinearity and multiple testing issues, especially when a large number of correlated SNPs are simultaneously tested. Multicollinearity can often occur when predictor variables in a multiple regression model are highly correlated, and can cause imprecise estimation of association. In this study, we propose a simple stepwise procedure that identifies disease-causing SNPs simultaneously by employing elastic-net regularization, a variable selection method that allows one to address multicollinearity. At Step 1, the single-marker association analysis was conducted to screen SNPs. At Step 2, the multiple-marker association was scanned based on the elastic-net regularization. The proposed approach was applied to the rheumatoid arthritis (RA) case-control data set of Genetic Analysis Workshop 16. While the selected SNPs at the screening step are located mostly on chromosome 6, the elastic-net approach identified putative RA-related SNPs on other chromosomes in an increased proportion. For some of those putative RA-related SNPs, we identified the interactions with sex, a well known factor affecting RA susceptibility.},
affiliation = {Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St, 599, Kwan-ak Gu, Seoul, South Korea 151-741, Republic of Korea. sacho71@snu.ac.kr.},
pages = {S25},
volume = {3 Suppl 7},
year = {2009},
month = {Jan},
language = {eng},
date-added = {2010-03-06 21:18:27 +0100},
date-modified = {2010-07-29 19:21:18 +0200},
pmid = {20018015},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7187},
rating = {0}
}

@article{Verstralen:2006aa,
author = {Huub Verstralen},
title = {Explorations in recursive designs},
abstract = {Starting from a set of basic designs, more complex designs are created by recursive application of the basic designs. Properties of these designs, and their effects on the accuracy of Rasch CML-parameter estimates are investigated.},
year = {2006},
month = {Apr},
date-added = {2010-01-03 19:39:03 +0100},
date-modified = {2010-01-03 19:39:03 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Verstralen-2006-_Explorations%20in%20recu.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1212},
rating = {0}
}

@article{Nicodemus:2010p13381,
author = {Kristin K Nicodemus and James D Malley and Carolin Strobl and Andreas Ziegler},
journal = {BMC Bioinformatics},
title = {The behaviour of random forest permutation-based variable importance measures under predictor correlation},
abstract = {BACKGROUND: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on permutation-based variable importance measures (VIMs) used in RF have come to apparently contradictory conclusions. We present an extended simulation study to synthesize results. RESULTS: In the case when both predictor correlation was present and predictors were associated with the outcome (HA), the unconditional RF VIM attributed a higher share of importance to correlated predictors, while under the null hypothesis that no predictors are associated with the outcome (H0) the unconditional RF VIM was unbiased. Conditional VIMs showed a decrease in VIM values for correlated predictors versus the unconditional VIMs under HA and was unbiased under H0. Scaled VIMs were clearly biased under HA and H0. CONCLUSIONS: Unconditional unscaled VIMs are a computationally tractable choice for large datasets and are unbiased under the null hypothesis. Whether the observed increased VIMs for correlated predictors may be considered a "bias" - because they do not directly reflect the coefficients in the generating model - or if it is a beneficial attribute of these VIMs is dependent on the application. For example, in genetic association studies, where correlation between markers may help to localize the functionally relevant variant, the increased importance of correlated predictors may be an advantage. On the other hand, we show examples where this increased importance may result in spurious signals.},
affiliation = {Statistical Genetics, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. kristin.nicodemus@well.ox.ac.uk},
pages = {110},
volume = {11},
year = {2010},
month = {Jan},
language = {eng},
keywords = {Algorithms, Genomics, Genome-Wide Association Study, Genome},
date-added = {2010-07-01 19:20:01 +0200},
date-modified = {2010-07-01 19:23:18 +0200},
doi = {10.1186/1471-2105-11-110},
pii = {1471-2105-11-110},
pmid = {20187966},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Nicodemus-2010-BMC%20Bioinformatics_The%20behaviour%20of%20ran.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13381},
rating = {5}
}

@article{LynneLandsman:2010p12170,
author = {Sarah D Lynne-Landsman and Julia A Graber and Tracy R Nichols and Gilbert J Botvin},
journal = {J Youth Adolesc},
title = {Is Sensation Seeking a Stable Trait or Does it Change Over Time?},
abstract = {The theory of sensation seeking has conceptualized this construct as a stable personality trait associated with a variety of problem behaviors. Reckless behavior theory posits that increases in reckless behavior during adolescence can be attributed, in part, to increases in sensation seeking. This study evaluated patterns of stability and change in sensation seeking among 868 urban, minority youth (53% female), followed longitudinally across middle school (6th-8th grades). Group-based trajectory analysis identified a stable low group (20%), a moderate increasing group (60%), and a stable high group (20%) each of which demonstrated unique associations with changes in problem behaviors. Stable low sensation seekers reported consistently low levels of aggression, delinquency, and substance use across middle school. Moderate increasing sensation seekers reported significant increases in these risk behaviors over time from levels near zero in the 6th grade. Stable high sensation seekers reported high, stable levels of aggression and delinquency upon entry into middle school as well as significant increases in substance use across middle school. These results lend support to both theories and highlight a need for caution when categorizing adolescents as high or low sensation seekers.},
affiliation = {Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 North Broadway, Hampton House/Room 802, Baltimore, MD, 21205, USA, slynne@jhsph.edu.},
pages = {},
year = {2010},
month = {Mar},
language = {ENG},
date-added = {2010-05-30 10:44:26 +0200},
date-modified = {2010-05-30 10:44:26 +0200},
doi = {10.1007/s10964-010-9529-2},
pmid = {20354775},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12170},
rating = {0}
}

@article{Kyle:2010p7252,
author = {Simon D Kyle and Kevin Morgan and Colin A Espie},
journal = {Sleep Med Rev},
title = {Insomnia and health-related quality of life},
abstract = {Health-related Quality of Life (HRQoL) has become an important construct in contemporary medicine and health care, permitting assessment of disorder burden and evaluation of interventions on various aspects of functioning, in a standardized manner. Here we review literature on the measurement of HRQoL in insomnia populations, and the extent to which insomnia treatment improves domains of HRQoL. It is concluded from the relatively small literature that insomnia impacts on diverse areas of HRQoL, and that both pharmacological and non-pharmacological interventions can produce, to varying degrees, improvements in domains spanning physical, social and emotional functioning. Limitations of the current literature are identified; with particular emphasis on measurement and conceptual shortcomings. Suggestions are made in relation to improving the quality of future research, and how to further shed light on the impact of insomnia - and treatment thereof - on both HRQoL and global quality of life.},
affiliation = {University of Glasgow Sleep Centre, Sackler Institute of Psychobiological Research, Faculty of Medicine, Southern General Hospital, Glasgow G51 4TF, Scotland. s.d.kyle@clinmed.gla.ac.uk},
number = {1},
pages = {69--82},
volume = {14},
year = {2010},
month = {Feb},
language = {eng},
date-added = {2010-03-10 20:13:13 +0100},
date-modified = {2010-03-10 20:13:13 +0100},
doi = {10.1016/j.smrv.2009.07.004},
pii = {S1087-0792(09)00071-9},
pmid = {19962922},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Kyle-2010-Sleep%20Med%20Rev_Insomnia%20and%20health.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p7252},
rating = {0}
}

@phdthesis{Sheng:2005,
author = {Y Sheng},
journal = {PhD Thesis},
title = {BAYESIAN ANALYSIS OF HIERARCHICAL IRT MODELS: COMPARING AND COMBINING THE UNIDIMENSIONAL {\&} MULTI-UNIDIMENSIONAL IRT MODELS},
affiliation = {University of Missouri-Columbia},
year = {2005},
date-added = {2010-01-10 11:33:18 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Sheng-2005-PhD%20Thesis_BAYESIAN%20ANALYSIS%20OF.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2154},
rating = {0}
}

@article{Ast:1997,
author = {DB Ast and ER Schlesinger},
journal = {Am J Public Health},
title = {The conclusion of a ten year study of water fluoridation},
abstract = {This is a section of the book The Challenge of Epidemiology: Issues and Selected Readings. Edited by four eminent epidemiologists, this book consolidates, for the first time, a core of landmark articles on the evolution, scope and limitations, uses, and prospects of epidemiology. An outstanding feature of the book is the inclusion of the editors' assessments of the realm of epidemiology, where it is and where it should be going. It represents a useful tool for both students and practicing professionals and provides a much-needed frame of reference for reorienting the practice of epidemiology. The book is a collection of 91 articles, grouped in five parts. This article deals with the health, in particular pediatric and dental, aspects of water supplies that contain fluoride ion. A brief discussion on the metabolism of fluorides is provided.},
pages = {265--271},
volume = {46},
year = {1997},
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/p1034},
rating = {0}
}

@misc{Lubke:2000,
author = {G Lubke and B Muth\'e},
journal = {Miscellaneous},
title = {Factor-analyzing Likert-scale data under the assumption of mutlivariate normality complicates a meaningful comparison of observed groups or latent classes},
year = {2000},
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/Lubke-2000-Miscellaneous_Factor-analyzing%20Lik.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1927},
rating = {0}
}

@article{Szymczak:2009p13176,
author = {Silke Szymczak and Joanna M Biernacka and Heather J Cordell and Oscar Gonz{\'a}lez-Recio and Inke R K{\"o}nig and Heping Zhang and Yan V Sun},
journal = {Genet Epidemiol},
title = {Machine learning in genome-wide association studies},
abstract = {Recently, genome-wide association studies have substantially expanded our knowledge about genetic variants that influence the susceptibility to complex diseases. Although standard statistical tests for each single-nucleotide polymorphism (SNP) separately are able to capture main genetic effects, different approaches are necessary to identify SNPs that influence disease risk jointly or in complex interactions. Experimental and simulated genome-wide SNP data provided by the Genetic Analysis Workshop 16 afforded an opportunity to analyze the applicability and benefit of several machine learning methods. Penalized regression, ensemble methods, and network analyses resulted in several new findings while known and simulated genetic risk variants were also identified. In conclusion, machine learning approaches are promising complements to standard single-and multi-SNP analysis methods for understanding the overall genetic architecture of complex human diseases. However, because they are not optimized for genome-wide SNP data, improved implementations and new variable selection procedures are required.},
affiliation = {Institut f{\"u}r Medizinische Biometrie und Statistik, Universit{\"a}t zu L{\"u}beck, L{\"u}beck, Germany. silke.szymczak@imbs.uni-luebeck.de},
pages = {S51--7},
volume = {33 Suppl 1},
year = {2009},
month = {Jan},
language = {eng},
keywords = {Bayes Theorem, Artificial Intelligence, Genome-Wide Association Study, Neural Networks (Computer), Humans, Regression Analysis, Molecular Epidemiology, Genetic Predisposition to Disease, Polymorphism: Single Nucleotide},
date-added = {2010-06-26 11:19:28 +0200},
date-modified = {2010-06-26 11:19:28 +0200},
doi = {10.1002/gepi.20473},
pmid = {19924717},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Szymczak-2009-Genet%20Epidemiol_Machine%20learning%20in.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13176},
read = {Yes},
rating = {0}
}

@article{Edwards:2010p12922,
author = {M C Edwards},
journal = {Psychometrika},
title = {A Markov Chain Monte Carlo approach to confirmatory item factor analysis},
abstract = {Item factor analysis has a rich tradition in both the structural equation modeling and item response theory frameworks. The goal of this paper is to demonstrate a novel combination of various Markov chain Monte Carlo (MCMC) estimation routines to estimate parameters of a wide variety of confirmatory item factor analysis models. Further, I show that these methods can be implemented in a flexible way which requires minimal technical sophistication on the part of the end user. After providing an overview of item factor analysis and MCMC, results from several examples (simulated and real) will be discussed. The bulk of these examples focus on models that are problematic for current ``gold-standard'' estimators. The results demonstrate that it is possible to obtain accurate parameter estimates using MCMC in a relatively user-friendly package.},
year = {2010},
date-added = {2010-06-24 18:05:27 +0200},
date-modified = {2010-06-24 18:10:34 +0200},
doi = {10.1007/S11336-010-9161-9},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Edwards-2010-Psychometrika_A%20Markov%20Chain%20Monte.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12922},
rating = {4}
}

@article{Hothorn:2007p14023,
author = {T Hothorn and K Hornik and Mark A van de Wiel and A Zeilis},
title = {Implementing a Class of Permutation Tests: The coin Package},
abstract = {This description of the R package coin is a (slightly) modified version of Hothorn, Hornik, van ̃de Wiel, and Zeileis (2008a) published in the Journal of Statistical Software. The R package coin implements a unified approach to permutation tests providing a huge class of independence tests for nominal, ordered, numeric, and censored data as well as multivariate data at mixed scales. Based on a rich and flexible conceptual framework that embeds different permutation test procedures into a common theory, a computational framework is established in coin that likewise embeds the corresponding R functionality in a common S4 class structure with associated generic functions. As a consequence, the computational tools in coin inherit the flexibility of the underlying theory and con- ditional inference functions for important special cases can be set up easily. Conditional versions of classical tests---such as tests for location and scale problems in two or more samples, independence in two- or three-way contingency tables, or association problems for censored, ordered categorical or multivariate data---can easily be implemented as special cases using this computational toolbox by choosing appropriate transformations of the observations. The paper gives a detailed exposition of both the internal structure of the package and the provided user interfaces along with examples on how to extend the implemented functionality.},
year = {2007},
date-added = {2010-08-09 10:00:41 +0200},
date-modified = {2010-08-09 10:02:21 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hothorn-2007-_Implementing%20a%20Class.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14023},
rating = {0}
}

@article{Egger:2003p4364,
author = {Jos I M Egger and Hubert R A De Mey and Jan J L Derksen and Cees P F van der Staak},
journal = {Psychol Assess},
title = {Cross-cultural replication of the five-factor model and comparison of the NEO-PI-R and MMPI-2 PSY-5 scales in a Dutch psychiatric sample},
abstract = {The authors investigated cross-cultural replicability of the five-factor model (FFM) of personality as represented by the revised NEO Personality Inventory (NEO-PI-R; P. T. Costa {\&} R. R. McCrae, 1992) in a sample of 423 Dutch psychiatric patients. Also, NEO-PI-R domain scales were compared with the Personality Psychopathology Five (PSY-5; A. R. Harkness {\&} J. L. McNulty, 1994) scales of the Minnesota Multiphasic Personality Inventory-2 (J. N. Butcher, W. G. Dahlstrom, J. R. Graham, A. Tellegen, {\&} B. Kaemmer, 2002). Principal-components analysis with procrustean rotation confirmed the hypothesized structural similarity of the present sample with the U.S. normative factor scores. All of the hypothesized relations between NEO-PI-R and PSY-5 scales were confirmed. The results provide evidence for cross-cultural replicability of the FFM and for validity of the NEO-PI-R and PSY-5 constructs in the psychological assessment of psychiatric patients.},
affiliation = {Department of Clinical Psychology and Personality, University of Nijmegen, P.O. Box 9104, 6500 HE Nijmegen, The Netherlands. j.egger@psych.kun.nl},
number = {1},
pages = {81--8},
volume = {15},
year = {2003},
month = {Mar},
language = {eng},
keywords = {Cross-Cultural Comparison, Personality Inventory, MMPI, Personality Disorders, Female, Culture, Male, Middle Aged, Humans, Factor Analysis: Statistical, Aged, Adult},
date-added = {2010-01-28 16:29:27 +0100},
date-modified = {2010-01-28 16:29:27 +0100},
pmid = {12674727},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4364},
rating = {0}
}

@article{Miller:2009p12309,
author = {Lucy J Miller and Darci M Nielsen and Sarah A Schoen and Barbara A Brett-Green},
journal = {Frontiers in integrative neuroscience},
title = {Perspectives on sensory processing disorder: a call for translational research},
abstract = {THIS ARTICLE EXPLORES THE CONVERGENCE OF TWO FIELDS, WHICH HAVE SIMILAR THEORETICAL ORIGINS: a clinical field originally known as sensory integration and a branch of neuroscience that conducts research in an area also called sensory integration. Clinically, the term was used to identify a pattern of dysfunction in children and adults, as well as a related theory, assessment, and treatment method for children who have atypical responses to ordinary sensory stimulation. Currently the term for the disorder is sensory processing disorder (SPD). In neuroscience, the term sensory integration refers to converging information in the brain from one or more sensory domains. A recent subspecialty in neuroscience labeled multisensory integration (MSI) refers to the neural process that occurs when sensory input from two or more different sensory modalities converge. Understanding the specific meanings of the term sensory integration intended by the clinical and neuroscience fields and the term MSI in neuroscience is critical. A translational research approach would improve exploration of crucial research questions in both the basic science and clinical science. Refinement of the conceptual model of the disorder and the related treatment approach would help prioritize which specific hypotheses should be studied in both the clinical and neuroscience fields. The issue is how we can facilitate a translational approach between researchers in the two fields. Multidisciplinary, collaborative studies would increase knowledge of brain function and could make a significant contribution to alleviating the impairments of individuals with SPD and their families.},
affiliation = {Sensory Processing Disorder Foundation Greenwood Village, CO, USA.},
pages = {22},
volume = {3},
year = {2009},
month = {Jan},
language = {eng},
date-added = {2010-06-12 09:26:55 +0200},
date-modified = {2010-06-12 09:26:55 +0200},
doi = {10.3389/neuro.07.022.2009},
pmid = {19826493},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Miller-2009-Frontiers%20in%20integrative%20neuroscience_Perspectives%20on%20sens.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12309},
rating = {0}
}

@article{Takane:1987p2727,
author = {Y Takane and Jan de Leeuw},
journal = {Psychometrika},
title = {On the relationship between Item Response Theory and Factor Analysis of discretized variables},
number = {3},
pages = {393--408},
volume = {52},
year = {1987},
date-added = {2010-01-13 14:16:52 +0100},
date-modified = {2010-07-29 20:45:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Takane-1987-Psychometrika_On%20the%20relationship.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2727},
read = {Yes},
rating = {5}
}

@article{Horton:2004p14044,
author = {N J Horton and E R Brown and L Qian},
journal = {The American Statistician},
title = {Use of R as a toolbox for mathematical statistics exploration},
abstract = {The R language, a freely available environment for statistical computing and graphics is widely used in many fields. This ``expert-friendly'' system has a powerful command language and programming environment, combined with an active user community. We discuss how R is ideal as a platform to support experimentation in mathematical statistics, both at the undergraduate and graduate levels. Using a series of case studies and activities, we describe how R can be utilized in a mathematical statistics course as a toolbox for experimentation. Examples include the calculation of a running variance, maximization of a non-linear function, resampling of a statistic, simple Bayesian modeling, sampling from multivariate normal and estimation of power. These activities, often requiring only a few dozen lines of code, offer the student the opportunity to explore statistical concepts and experiment. In addition, they provide an introduction to the framework and idioms available in this rich environment.},
number = {4},
pages = {343--357},
volume = {58},
year = {2004},
date-added = {2010-08-10 12:40:18 +0200},
date-modified = {2010-08-10 12:42:14 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Horton-2004-The%20American%20Statistician_Use%20of%20R%20as%20a%20toolbo-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p14044},
rating = {3}
}

@article{Medland:2003p1853,
author = {Sarah E Medland and Margaret J Wright and Gina M Geffen and David A Hay and Florence Levy and Nicholas G Martin and David L Duffy},
journal = {Twin Res},
title = {Special twin environments, genetic influences and their effects on the handedness of twins and their siblings},
abstract = {It has been suggested that twinning may influence handedness through the effects of birth order, intra-uterine crowding and mirror imaging. The influence of these effects on handedness (for writing and throwing) was examined in 3657 Monozygotic (MZ) and 3762 Dizygotic (DZ) twin pairs (born 1893-1992). Maximum likelihood analyses revealed no effects of birth order on the incidence of left-handedness. Twins were no more likely to be left-handed than their singleton siblings (n = 1757), and there were no differences between the DZ co-twin and sibling-twin covariances, suggesting that neither intra-uterine crowding nor the experience of being a twin affects handedness. There was no evidence of mirror imaging; the co-twin correlations of monochorionic and dichorionic MZ twins did not differ. Univariate genetic analyses revealed common environmental factors to be the most parsimonious explanation of familial aggregation for the writing-hand measure, while additive genetic influences provided a better interpretation of the throwing hand data.},
affiliation = {Genetic Epidemiology Unit, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4029, Australia. sarahMe@qimr.edu.au},
number = {2},
pages = {119--30},
volume = {6},
year = {2003},
month = {Apr},
language = {eng},
keywords = {Chi-Square Distribution, Placenta, Male, Siblings, Humans, Birth Order, Likelihood Functions, Female, Functional Laterality, Social Environment, Twins, Pregnancy},
date-added = {2010-01-10 11:28:55 +0100},
date-modified = {2010-01-10 11:28:56 +0100},
doi = {10.1375/136905203321536245},
pmid = {12723998},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Medland-2003-Twin%20Res_Special%20twin%20environ.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1853},
rating = {0}
}

@article{Glas:1989,
author = {C A W Glas and N Verhelst},
journal = {Psychometrika},
title = {Extensions of the partial credit model},
pages = {635--659},
volume = {54},
year = {1989},
date-added = {2010-01-10 11:33:18 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Glas-1989-Psychometrika_Extensions%20of%20the%20pa.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1974},
rating = {0}
}

@article{Chun:2007p1525,
author = {H Chun and S Keles},
title = {Sparse Partial Least Squares Regression for Simulta- neous Dimension Reduction and Variable Selection},
abstract = {Analysis of modern biological data often involves ill-posed problems due to high dimensionality and multicollinearity. Partial Least Squares (pls) regression has been an alternative to ordinary least squares for handling multicollinearity in several areas of scientific research since 1960s. At the core of the pls methodology lies a dimension reduction technique coupled with a regression model. Although pls regression has been shown to achieve good predictive performance, it is not particularly tailored for variable/feature selection and therefore often produces linear combinations of the original predictors that are hard to interpret due to high dimensionality. In this paper, we investigate the known asymptotic properties of the pls estimator and show that its consistency property no longer holds with the very large p and small n paradigm. We, then, propose a sparse partial least squares (spls) formulation which aims to simultaneously achieve good predictive performance and variable selection by producing sparse linear combinations of the original predictors. We provide an efficient implementation of spls regression based on the lars algorithm and benchmark the proposed method by comparisons to well known variable selection and dimension reduction approaches via simulation experiments. An additional advantage of the spls regression is its ability to handle multivariate responses without much additional computational cost. We illustrate this in a joint analysis of gene expression and genome-wide binding data.},
affiliation = {Department of Statistics University of Wisconsin, Madison, 53706 USA},
year = {2007},
date-added = {2010-01-07 15:59:21 +0100},
date-modified = {2010-01-07 16:00:21 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Chun-2007-_Sparse%20Partial%20Least.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1525},
rating = {0}
}

@article{Norton:2004p4120,
author = {E C Norton and H Wang and C Ai},
journal = {The Stata Joumal},
title = {Computinginteractioneffectsand standard errorsin logit and Probit models},
abstract = {This paper explailrswhy computing the rnarginalefect of a change in two va,riablesis more complicated in nonlinear models than in linear models The command iDteff	computesthe correct marginal eflect of a changein two intera.ted variablesfor a logit or probit model, as well as the correct standard errors. The intef command graphs the interaction effect and savesthe results to allow further investigation},
number = {2},
pages = {154--167},
volume = {4},
year = {2004},
date-added = {2010-01-20 00:07:19 +0100},
date-modified = {2010-07-29 19:53:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Norton-2004-The%20Stata%20Joumal_Computinginteraction.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4120},
rating = {0}
}

@article{Jara:2007,
author = {A Jara and M J Garcia-Zattera and E Lesaffre},
journal = {Computational Statistics},
title = {A Dirichlet process mixture model for the analysis of correlated binary responses},
abstract = {The multivariate probit model is a popular choice for modelling correlated binary responses. It assumes an underlying multivariate normal distribution dichotomized to yield a binary response vector. Other choices for the latent distribution have been suggested, but basically all models assume homogeneity in the correlation structure across the subjects. When interest lies in the association structure, relaxing this homogeneity assumption could be useful. The latent multivariate normal model is replaced by a location and association mixture model defined by a Dirichlet process. Attention is paid to the parameterization of the covariance matrix in order to make the Bayesian computations convenient. The approach is illustrated on a simulated data set and applied to oral health data from the Signal Tandmobiel^(R) study to examine the hypothesis that caries is mainly a spatially local disease.},
affiliation = {Interuniversity Attraction Pole},
number = {11},
pages = {5402--5415},
volume = {51},
year = {2007},
date-added = {2010-01-03 19:37:35 +0100},
date-modified = {2010-07-29 19:24:32 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Jara-2007-Computational%20Statistics_A%20Dirichlet%20process.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1121},
rating = {0}
}

@article{Malo:2008p1443,
author = {Nathalie Malo and Ondrej Libiger and Nicholas J Schork},
journal = {Am J Hum Genet},
title = {Accommodating linkage disequilibrium in genetic-association analyses via ridge regression},
abstract = {Large-scale genetic-association studies that take advantage of an extremely dense set of genetic markers have begun to produce very compelling statistical associations between multiple makers exhibiting strong linkage disequilibrium (LD) in a single genomic region and a phenotype of interest. However, the ultimate biological or "functional" significance of these multiple associations has been difficult to discern. In fact, the LD relationships between not only the markers found to be associated with the phenotype but also potential functionally or causally relevant genetic variations that reside near those markers have been exploited in such studies. Unfortunately, LD, especially strong LD, between variations at neighboring loci can make it difficult to distinguish the functionally relevant variations from nonfunctional variations. Although there are (rare) situations in which it is impossible to determine the independent phenotypic effects of variations in LD, there are strategies for accommodating LD between variations at different loci, and they can be used to tease out their independent effects on a phenotype. These strategies make it possible to differentiate potentially causative from noncausative variations. We describe one such approach involving ridge regression. We showcase the method by using both simulated and real data. Our results suggest that ridge regression and related techniques have the potential to distinguish causative from noncausative variations in association studies.},
affiliation = {Department of Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.},
number = {2},
pages = {375--85},
volume = {82},
year = {2008},
month = {Feb},
language = {eng},
keywords = {Regression Analysis, Computer Simulation, Genetic Variation, Linkage Disequilibrium, Data Interpretation: Statistical, Phenotype, Models: Genetic},
date-added = {2010-01-07 12:19:46 +0100},
date-modified = {2010-07-29 19:13:31 +0200},
doi = {10.1016/j.ajhg.2007.10.012},
pii = {S0002-9297(08)00091-8},
pmid = {18252218},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Malo-2008-Am%20J%20Hum%20Genet_Accommodating%20linkag.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1443},
read = {Yes},
rating = {0}
}

@article{Wang:2008p12892,
author = {Jie Wang and KN Plataniotis and Juwei Lu and AN Venetsanopoulos},
journal = {Pattern Recognition},
title = {Kernel quadratic discriminant analysis for small sample size problem},
abstract = {It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis (LDA) method. This is due to the fact that QDA relaxes the assumption made by LDA-based methods that the covariance matrix for each class is identical. However, it still assumes that the class conditional distribution is Gaussian which is usually not the case in many real-world applications. In this paper, a novel kernel-based QDA method is proposed to further relax the Gaussian assumption by using the kernel machine technique. The proposed method solves the complex pattern recognition problem by combining the QDA solution and the kernel machine technique, and at the same time, tackles the so-called small sample size problem through a regularized estimation of the covariance matrix. Extensive experimental results indicate that the proposed method is a more sophisticated solution outperforming many traditional kernel-based learning algorithms.},
pages = {1528--1538},
volume = {41},
year = {2008},
date-added = {2010-06-24 13:25:38 +0200},
date-modified = {2010-06-24 13:26:41 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Wang-2008-Pattern%20Recognition_Kernel%20quadratic%20dis.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12892},
rating = {4}
}

@article{Schlaepfer:2006p3461,
author = {Thomas E Schlaepfer and Eric Lancaster and Rebecca Heidbreder and Eric C Strain and Markus Kosel and Hans-Ulrich Fisch and Godfrey D Pearlson},
journal = {Int J Neuropsychopharmacol},
title = {Decreased frontal white-matter volume in chronic substance abuse},
abstract = {There is quite a body of work assessing functional brain changes in chronic substance abuse, much less is known about structural brain abnormalities in this patient population. In this study we used magnetic resonance imaging (MRI) to determine if structural brain differences exist in patients abusing illicit drugs compared to healthy controls. Sixteen substance abusers who abused heroin, cocaine and cannabis but not alcohol and 16 age-, sex- and race-matched controls were imaged on a MRI scanner. Contiguous, 5-mm-thick axial slices were acquired with simultaneous T2 and proton density sequences. Volumes were estimated for total grey and white matter, frontal grey and white matter, ventricles, and CSF using two different methods: a conventional segmentation and a stereological method based on the Cavalieri principle. Overall brain volume differences were corrected for by expressing the volumes of interest as a percentage of total brain volume. Volume measures obtained with the two methods were highly correlated (r=0.65, p<0.001). Substance abusers had significantly less frontal white-matter volume percentage than controls. There were no significant differences in any of the other brain volumes measured. This difference in frontal lobe white matter might be explained by a direct neurotoxic effect of drug use on white matter, a pre-existing abnormality in the development of the frontal lobe or a combination of both effects. This last explanation might be compelling based on the fact that newer concepts on shared aspects of some neuropsychiatric disorders focus on the promotion and inhibition of the process of myelination throughout brain development and subsequent degeneration.},
affiliation = {Department of Psychiatry, University Hospital, Bonn, Germany. schlaepf@jhmi.edu},
number = {2},
pages = {147--53},
volume = {9},
year = {2006},
month = {Apr},
language = {eng},
keywords = {Magnetic Resonance Imaging, Case-Control Studies, Substance-Related Disorders, Adult, Male, Middle Aged, Female, Image Processing: Computer-Assisted, Brain Mapping, Stereotaxic Techniques, Humans, Frontal Lobe},
date-added = {2010-01-15 15:19:49 +0100},
date-modified = {2010-01-15 15:19:57 +0100},
doi = {10.1017/S1461145705005705},
pii = {S1461145705005705},
pmid = {16004619},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3461},
rating = {4}
}

@article{Schieken:1992p10382,
author = {R M Schieken and M Mosteller and M M Goble and W B Moskowitz and J K Hewitt and L J Eaves and W E Nance},
journal = {Circulation},
title = {Multivariate genetic analysis of blood pressure and body size. The Medical College of Virginia Twin Study},
abstract = {BACKGROUND: In subjects of all ages, those who weigh the most often have the highest blood pressure. Thus, in epidemiological studies, weight is the most important correlate of blood pressure. Using the data from the Medical College of Virginia Twin Study, we asked these questions: 1) Do the same genetic paths that regulate body size also regulate systolic and diastolic blood pressure? 2) Are there distinct genetic pathways that regulate each of these variables? 3) Does environment play a major regulatory role? 4) Are the correlations among these variables mainly due to genetic or environmental effects? 5) Do genetic paths that regulate body size mediate the correlation between systolic blood pressure and diastolic blood pressure? METHODS AND RESULTS: We ascertained 253 Caucasian twin pairs living in the Commonwealth of Virginia. The average age was 11.2 +/- 0.2 years. We used multivariate path analyses to investigate the genetic relations among systolic blood pressure, diastolic blood pressure, and body size. We found that there was a highly significant genetic relation between systolic blood pressure and body size and between systolic and diastolic blood pressure. There are genetic paths that are shared within these two sets of variables, but in each case, the paths for each pair appear to be separate from one another. CONCLUSIONS: These analyses provide a method to partition correlation coefficients found in epidemiological studies into genetic and environmental components. The correlations found among these three variables are in large part due to these genetic relations. We found no genetic relation between diastolic blood pressure and body size.},
affiliation = {Children's Medical Center, Division of Pediatric Cardiology, Richmond.},
number = {6},
pages = {1780--8},
volume = {86},
year = {1992},
month = {Dec},
language = {eng},
keywords = {Twins, Systole, Humans, Multivariate Analysis, Male, Environment, Blood Pressure, Child, Diastole, Female, Body Constitution, Body Mass Index, Models: Cardiovascular, Sex Characteristics},
date-added = {2010-04-02 18:22:45 +0200},
date-modified = {2010-04-02 18:22:45 +0200},
pmid = {1451250},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Schieken-1992-Circulation_Multivariate%20genetic.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p10382},
rating = {0}
}

@article{Revelle:2006p13936,
author = {W Revelle},
title = {The Contribution of Reinforcement Sensitivity Theory to Personality Theory},
year = {2006},
date-added = {2010-07-29 19:00:07 +0200},
date-modified = {2010-07-29 19:00:37 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Revelle-2006-_The%20Contribution%20of.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13936},
rating = {0}
}

@article{Lindstrom:1990p2363,
author = {M L Lindstrom and D M Bates},
journal = {Biometrics},
title = {Nonlinear mixed effects models for repeated measures data},
abstract = {We propose a general, nonlinear mixed effects model for repeated measures data and define estimators for its parameters. The proposed estimators are a natural combination of least squares estimators for nonlinear fixed effects models and maximum likelihood (or restricted maximum likelihood) estimators for linear mixed effects models. We implement Newton-Raphson estimation using previously developed computational methods for nonlinear fixed effects models and for linear mixed effects models. Two examples are presented and the connections between this work and recent work on generalized linear mixed effects models are discussed.},
affiliation = {Biostatistics Center, University of Wisconsin-Madison 53706.},
number = {3},
pages = {673--87},
volume = {46},
year = {1990},
month = {Sep},
language = {eng},
keywords = {Likelihood Functions, Biometry, Analysis of Variance, Models: Statistical, Algorithms},
date-added = {2010-01-10 13:38:34 +0100},
date-modified = {2010-01-10 13:38:34 +0100},
pmid = {2242409},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Lindstrom-1990-Biometrics_Nonlinear%20mixed%20effe.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2363},
rating = {0}
}

@article{Gonidakis:2007p4367,
author = {F Gonidakis and A D Rabavilas and E Varsou and G Kreatsas and G N Christodoulou},
journal = {J Affect Disord},
title = {Maternity blues in Athens, Greece: a study during the first 3 days after delivery},
abstract = {BACKGROUND: Although maternity blues have been studied in many countries worldwide the factors that influence the occurrence of this clinical entity are not well understood. The purpose of this study was to investigate the prevalence, time course and symptomatology of maternity blues in a Greek urban environment as well as the relation of maternity blues with certain clinical and sociodemographic factors. METHOD: A study of a sample of 402 women that were recruited during the first day after delivery. Each woman completed the Kennerley's Blues Questionnaire on a daily basis for the first 3 days of puerpartum. Clinical and sociodemographic data were obtained through questionnaires and personal interview. RESULTS: 179 (44.5%) women experienced severe maternity blues during the first 3 days after delivery. Delivery by caesarian section (P=0.006), stressful events during pregnancy (P=0.02), depressive feelings the last month prior to delivery (P=0.002), anxiety on the day of delivery (P=0.001) and hypochondriasis (P=0.001) were the factors that were found to relate significantly to maternity blues. CONCLUSION: The women's emotional condition prior and after delivery, delivery via caesarotomy, as well as fears concerning somatic health had strong impact on the occurrence of maternity blues.},
affiliation = {Department of Psychiatry, Athens University Medical School, Greece. fragoni@yahoo.com},
number = {1-3},
pages = {107--15},
volume = {99},
year = {2007},
month = {Apr},
language = {eng},
keywords = {Urban Population, Incidence, Life Change Events, Depression, Cesarean Section, Female, Hypochondriasis, Adult, Pregnancy, Cross-Sectional Studies, Greece, Socioeconomic Factors, Statistics as Topic, Depression: Postpartum, Cross-Cultural Comparison, Risk Factors, Pregnancy: Unwanted, Humans, Personality Inventory, Anxiety, Personality Assessment},
date-added = {2010-01-28 16:31:10 +0100},
date-modified = {2010-01-28 16:31:11 +0100},
doi = {10.1016/j.jad.2006.08.028},
pii = {S0165-0327(06)00362-4},
pmid = {17011042},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4367},
rating = {0}
}

@article{vanderValk:1998p11413,
author = {J C van der Valk and F C Verhulst and T M Stroet and Dorret I Boomsma},
journal = {Twin Res},
title = {Quantitative genetic analysis of internalising and externalising problems in a large sample of 3-year-old twins},
abstract = {For a quantitative genetic study of pre-school problem behaviours, we have collected data with the Child Behavior Checklist for 2 and 3-year-old children (CBCL 2/3). Questionnaires were completed by mothers of 3620 twin pairs: 633 monozygotic males, 581 dizygotic males, 695 monozygotic females, 519 dizygotic females and 1192 dizygotic opposite sex twin pairs. The genetic and environmental influences on the Externalising and Internalising Problem scales were estimated, simultaneously with sex differences and sibling interaction effects. Genetic factors explained most of the observed variance for both Externalising and Internalising Problems. Cooperative sibling interactions were found for Externalising Problems, indicating that twins reinforce each other's behaviour. Sex differences in genetic architecture were found for Externalising Problems. Genetic factors explained 75% of the variance in girls and 50% in boys. Shared environmental influences were only of importance in boys. For both problem scales, non-shared environmental factors accounted for 25 to 32% of the variance. The observed variances of Internalising Problems could be adequately explained by genetic and nonshared environmental factors, with genetic factors accounting for 68% of the variance.},
affiliation = {Department of Child and Adolescent Psychiatry, Sophia Children's Hospital, Rotterdam, The Netherlands. vandervalk@psys.azr.nl},
number = {1},
pages = {25--33},
volume = {1},
year = {1998},
month = {May},
language = {eng},
keywords = {Diseases in Twins, Models: Genetic, Male, Child Behavior, Twins, Female, Genetics: Behavioral, Child Behavior Disorders, Humans, Models: Psychological, Internal-External Control, Child: Preschool},
date-added = {2010-05-01 16:37:22 +0200},
date-modified = {2010-07-29 20:25:51 +0200},
pmid = {10051354},
local-url = {file://localhost/Users/chl/Dropbox/Papers/van%20der%20Valk-1998-Twin%20Res_Quantitative%20genetic.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p11413},
rating = {0}
}

@inproceedings{Cikrikci-Demirtasli:2000,
author = {N Cikrikci-Demirtasli},
journal = {Proceedings},
title = {A study of Raven Standard Progressive Matrices test's item measures under classic and item response models: An empirical comparison},
year = {2000},
date-added = {2010-01-10 11:33:20 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Cikrikci-Demirtasli-2000-Proceedings_A%20study%20of%20Raven%20Sta.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p2233},
rating = {0}
}

@article{Epstein:1994p12182,
author = {E E Epstein and B E Ginsburg and V M Hesselbrock and J C Schwarz},
journal = {Ann N Y Acad Sci},
title = {Alcohol and drug abusers subtyped by antisocial personality and primary or secondary depressive disorder},
abstract = {Our data show that when substance abusers are subtyped simultaneously by antisocial personality disorder and the onset of depression relative to alcohol or drug abuse, groups of people with unique personality and affective profiles are identified. The profiles are represented by measures of affect-related personality variables such as trait anxiety, trait depression, histrionic traits, sensation seeking, and novelty seeking. These measures were chosen in an attempt to show that a "low arousal" personality type may be associated with antisocial personality and may thus indirectly be linked to a certain type (i.e., ASP/nondepressed) of substance abuser. By using a multi-symptomatic typological schema (i.e., a constellation of diagnostic categories rather than just one), we can show that different personality or affective profiles are indeed associated with certain subtypes of substance abusers and that depressed people who use drugs or alcohol are different affectively from antisocial types. We also show that the relationship between "low" and "high" arousal personality profile and subtypes based on co-morbid psychopathology is highlighted even more when we take into account the onset of dysthymia or depression that is primary versus secondary to substance abuse. Our findings are in accord with others' descriptions of the "affective arousal" dimensions of personality and are the first to link these dimensions with subtypes based on ASP and depression.},
affiliation = {Center of Alcohol Studies, Rutgers--The State University of New Jersey, Piscataway 08855.},
pages = {187--201},
volume = {708},
year = {1994},
month = {Feb},
language = {eng},
keywords = {Depressive Disorder, Humans, Male, Antisocial Personality Disorder, Socioeconomic Factors, Adult, Age of Onset, Interviews as Topic, Personality, Personality Inventory, Demography, Alcoholism, Substance-Related Disorders},
date-added = {2010-05-30 10:45:13 +0200},
date-modified = {2010-05-30 10:45:13 +0200},
pmid = {8154680},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p12182},
rating = {0}
}

@article{Scholz:2009p418,
author = {Markus Scholz and Dirk Hasenclever},
journal = {arXiv},
title = {A Canonical Measure of Allelic Association},
abstract = { The measurement of biallelic pair-wise association called linkage disequilibrium (LD) is an important issue in order to understand the genomic architecture. A large variety of such measures of association have been proposed in the literature. We propose and justify six biometrical postulates which should be fulfilled by a canonical measure of LD. In short, LD measures are defined as a mapping of probability tables to the set of real numbers. They should be zero in case of independence and extremal if one of the entries approaches zero while the marginals are positively bounded. They should reflect the symmetry group of the tables and be invariant under certain transformations of the marginals (selection invariance). There scale should have maximum entropy relative to a calibrating symmetric distribution. None of the established measures fulfil all of these properties in general. We prove that there is a unique canonical measure of LD for each choice of a calibrating distribution. We compa- re the canonical LD measures with other candidates from the literature. We recommend the canonical measure derived from Jeffreys' non-informative prior distribution when assessing linkage disequilibrium of SNP array data. In a second part, we consider various estimators for the theoretical LD measures discussed and compare them in a simulation study. },
note = {38 pages, 7 figures},
eprint = {0903.3886v1},
volume = {stat.AP},
year = {2009},
month = {Jan},
keywords = {stat.AP},
date-added = {2010-01-03 12:12:41 +0100},
date-modified = {2010-01-03 12:12:41 +0100},
pmid = {0903.3886v1},
URL = {http://arxiv.org/abs/0903.3886v1},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Scholz-2009-arXiv_A%20Canonical%20Measure.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p418},
rating = {0}
}

@article{Joreskog:1969p6782,
author = {K G J{\"o}reskog},
journal = {Psychometrika},
title = {A general approach to confirmatory maximum likelihood factor analysis},
abstract = {We describe a general procedure by which any number of parameters of the factor analytic model can be held fixed at any values and the remaining free parameters estimated by the maximum likelihood method. The generality of the approach makes it possible to deal with all kinds of solutions: orthog- onal, oblique and various mixtures of these. By choosing the fixed parameters appropriately, factors can be defined to have desired properties and make subsequent rotation unnecessary. The goodness of fit of the maximum likeli- hood solution under the hypothesis represented by the fixed parameters is tested by a large sample x~test based on the likelihood ratio technique. A by- product of the procedure is an estimate of the variance-covariance matrix of the estimated parameters. From this, approximate confidence intervals for the parameters can be obtained. Several examples illustrating the use-
fulness of the procedure are given.},
number = {2},
pages = {183--202},
volume = {34},
year = {1969},
date-added = {2010-03-05 22:23:15 +0100},
date-modified = {2010-07-11 09:51:01 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/J%C3%B6reskog-1969-Psychometrika_A%20general%20approach%20t-1.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p6782},
rating = {0}
}

@article{Beck:2009p9582,
author = {Anne Beck and Florian Schlagenhauf and Torsten W{\"u}stenberg and Jakob Hein and Thorsten Kienast and Thorsten Kahnt and Katharina Schmack and Claudia H{\"a}gele and Brian Knutson and Andreas Heinz and Jana Wrase},
journal = {Biol Psychiatry},
title = {Ventral striatal activation during reward anticipation correlates with impulsivity in alcoholics},
abstract = {BACKGROUND: Alcohol dependence is often associated with impulsivity, which may be correlated with dysfunction of the brain reward system. We explored whether functional brain activation during anticipation of incentive stimuli is associated with impulsiveness in detoxified alcoholics and healthy control subjects. METHODS: Nineteen detoxified male alcoholics and 19 age-matched healthy men participated in a functional magnetic resonance imaging (fMRI) study using a monetary incentive delay (MID) task, in which visual cues predicted that a rapid response to a subsequent target stimulus would either result in monetary gain, avoidance of monetary loss, or no consequence. Impulsivity was assessed with the Barratt Impulsiveness Scale-Version 10 (BIS-10). RESULTS: Detoxified alcoholics showed reduced activation of the ventral striatum during anticipation of monetary gain relative to healthy control subjects. Low activation of the ventral striatum and anterior cingulate during gain anticipation was correlated with high impulsivity only in alcoholics, not in control subjects. CONCLUSIONS: This study suggests that reduced ventral striatal recruitment during anticipation of conventional rewards in alcoholics may be related to their increased impulsivity and indicate possibilities for enhanced treatment approaches in alcohol dependence.},
affiliation = {Department of Psychiatry, Charit{\'e} Universit{\"a}tsmedizin Berlin, Campus Mitte, Berlin, Germany.},
number = {8},
pages = {734--42},
volume = {66},
year = {2009},
month = {Oct},
language = {eng},
keywords = {Gyrus Cinguli, Adult, Male, Brain Mapping, Basal Ganglia, Alcoholism, Reward, Magnetic Resonance Imaging, Humans, Impulsive Behavior, Affect, Psychomotor Performance},
date-added = {2010-03-25 14:08:26 +0100},
date-modified = {2010-03-25 14:08:27 +0100},
doi = {10.1016/j.biopsych.2009.04.035},
pii = {S0006-3223(09)00567-8},
pmid = {19560123},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p9582},
rating = {0}
}

@article{Johnstone:2004p5897,
author = {I M Johnstone and A Y Lu},
title = {Sparse Principal Components Analysis},
abstract = {Principal components analysis (PCA) is a classical method for the reduction of dimensionality of data in the form of n observations (or cases) of a vector with p variables. Contemporary data sets often have p comparable to, or even much larger than n. Our main assertions, in such settings, are (a) that some initial reduction in dimensionality is desirable before applying any PCA-type search for principal modes, and (b) the initial reduction in dimensionality is best achieved by working in a basis in which the signals have a sparse representation. We describe a simple asymptotic model in which the estimate of the leading principal component vector via standard PCA is consistent if and only if p(n)/n → 0. We provide a simple algorithm for selecting a subset of coordinates with largest sample variances, and show that if PCA is done on the selected subset, then consistency is recovered, even if p(n) ≫ n.
Our main setting is that of signals and images, in which the number of sampling points, or pixels, is often comparable with or larger than the number of cases, n. Our particular example here is the electrocardiogram (ECG) signal of the beating heart, but similar approaches have been used, say, for PCA on libraries of face images.
Standard PCA involves an O(min(p3,n3)) search for directions of maximum variance. But if we have some a priori way of selecting k ≪ min(n, p) coordinates in which most of the variation among cases is to be found, then the complexity of PCA is much reduced, to O(k3). This is a computational reason, but if there is instrumental or other observational noise in each case that is uncorrelated with or independent of relevant case-to-case variation, then there is another compelling reason to preselect a small subset of variables before running PCA.
Indeed, we construct a model of factor analysis type and show that ordinary PCA can produce a consistent (as n → ∞) estimate of the principal factor if and only if p(n) is asymptotically of smaller order than n. Heuristically, if p(n) ≥ cn, there is so much observational noise and so many dimensions over which to search, that a spurious noise maximum will always drown out the true factor.
Fortunately, it is often reasonable to expect such small subsets of variables to exist: Much recent research in signal and image analysis has sought orthonormal basis and related systems in which typical signals have sparse representations: most co-ordinates have small signal energies. If such a basis is used to represent a signal -- we use wavelets as the classical example here -- then the variation in many coordinates is likely to be very small.
Consequently, we study a simple ``sparse PCA'' algorithm with the following ingredients: a) given a suitable orthobasis, compute coefficients for each case, b) compute sample variances (over cases) for each coordinate in the basis, and select the k coordinates of largest sample variance, c) run standard PCA on the selected k coordinates, obtaining up to k estimated eigenvectors, d) if desired, use soft or hard thresholding to denoise these estimated eigenvectors, and e) re-express the (denoised) sparse PCA eigenvector estimates in the original signal domain.
We illustrate the algorithm on some exercise ECG data, and also develop theory to show in a single factor model, under an appropriate sparsity assumption, that it indeed overcomes the inconsistency problems when p(n) ≥ cn, and yields consistent estimates of the principal factor.},
year = {2004},
date-added = {2010-02-17 21:15:33 +0100},
date-modified = {2010-02-17 21:20:48 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Johnstone-2004-_Sparse%20Principal%20Com.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5897},
rating = {0}
}

@article{deLeeuw:2001p4733,
author = {Jan de Leeuw},
title = {Reproducible Research. The Bottom Line},
abstract = {From the interesting and provocative paper by Buckheit and Donoho [2] we take the following quotation. ''When we publish articles containing figures which were generated by computer, we also publish the complete software envi- ronment which generated the figures.''
This principle is quite forcefully and recognizably motivated with problems in current research practice. Buckheit and Donoho have taken their inspiration from the ``Green'' Stanford geophysicist Jon Claerbout (his views are expounded in more detail in [3]). They formulate what I shall call Claerbout's Principle.},
year = {2001},
date-added = {2010-01-30 16:20:49 +0100},
date-modified = {2010-07-29 20:45:39 +0200},
local-url = {file://localhost/Users/chl/Dropbox/Papers/de%20Leeuw-2001-_Reproducible%20Researc.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4733},
rating = {0}
}

@article{Dudbridge:2004p3365,
author = {Frank Dudbridge and Bobby P C Koeleman},
journal = {Am J Hum Genet},
title = {Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies},
abstract = {Large exploratory studies, including candidate-gene-association testing, genomewide linkage-disequilibrium scans, and array-expression experiments, are becoming increasingly common. A serious problem for such studies is that statistical power is compromised by the need to control the false-positive rate for a large family of tests. Because multiple true associations are anticipated, methods have been proposed that combine evidence from the most significant tests, as a more powerful alternative to individually adjusted tests. The practical application of these methods is currently limited by a reliance on permutation testing to account for the correlated nature of single-nucleotide polymorphism (SNP)-association data. On a genomewide scale, this is both very time-consuming and impractical for repeated explorations with standard marker panels. Here, we alleviate these problems by fitting analytic distributions to the empirical distribution of combined evidence. We fit extreme-value distributions for fixed lengths of combined evidence and a beta distribution for the most significant length. An initial phase of permutation sampling is required to fit these distributions, but it can be completed more quickly than a simple permutation test and need be done only once for each panel of tests, after which the fitted parameters give a reusable calibration of the panel. Our approach is also a more efficient alternative to a standard permutation test. We demonstrate the accuracy of our approach and compare its efficiency with that of permutation tests on genomewide SNP data released by the International HapMap Consortium. The estimation of analytic distributions for combined evidence will allow these powerful methods to be applied more widely in large exploratory studies.},
affiliation = {MRC Rosalind Franklin Centre for Genomics Research, and MRC Biostatistics Unit, Cambridge, United Kingdom. frank.dudbridge@mrc-bsu.cam.ac.uk},
number = {3},
pages = {424--35},
volume = {75},
year = {2004},
month = {Sep},
language = {eng},
keywords = {Genome: Human, Linkage (Genetics), Genetic Markers, Linkage Disequilibrium, Statistics as Topic, Polymorphism: Single Nucleotide, Chromosome Mapping, Genetic Techniques, Models: Genetic, Association, Models: Statistical, Genotype, Humans, Genome, Databases as Topic},
date-added = {2010-01-15 14:38:34 +0100},
date-modified = {2010-01-15 14:38:36 +0100},
doi = {10.1086/423738},
pii = {S0002-9297(07)63314-X},
pmid = {15266393},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p3365},
rating = {3}
}

@article{Hannum:2009p5847,
author = {Gregory Hannum and Rohith Srivas and Aude Gu{\'e}nol{\'e} and Haico van Attikum and Nevan J Krogan and Richard M Karp and Trey Ideker},
journal = {PLoS Genet},
title = {Genome-wide association data reveal a global map of genetic interactions among protein complexes},
abstract = {This work demonstrates how gene association studies can be analyzed to map a global landscape of genetic interactions among protein complexes and pathways. Despite the immense potential of gene association studies, they have been challenging to analyze because most traits are complex, involving the combined effect of mutations at many different genes. Due to lack of statistical power, only the strongest single markers are typically identified. Here, we present an integrative approach that greatly increases power through marker clustering and projection of marker interactions within and across protein complexes. Applied to a recent gene association study in yeast, this approach identifies 2,023 genetic interactions which map to 208 functional interactions among protein complexes. We show that such interactions are analogous to interactions derived through reverse genetic screens and that they provide coverage in areas not yet tested by reverse genetic analysis. This work has the potential to transform gene association studies, by elevating the analysis from the level of individual markers to global maps of genetic interactions. As proof of principle, we use synthetic genetic screens to confirm numerous novel genetic interactions for the INO80 chromatin remodeling complex.},
affiliation = {Department of Bioengineering, University of California San Diego, La Jolla, California, USA.},
number = {12},
pages = {e1000782},
volume = {5},
year = {2009},
month = {Dec},
language = {eng},
date-added = {2010-02-17 10:19:29 +0100},
date-modified = {2010-02-17 10:19:29 +0100},
doi = {10.1371/journal.pgen.1000782},
pmid = {20041197},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hannum-2009-PLoS%20Genet_Genome-wide%20associat.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5847},
rating = {0}
}

@inbook{Hardouin:2007,
author = {Jean-Benoit Hardouin and M Mesbah},
journal = {Book},
title = {Mathematical methods for survival analysis, reliability and Quality of life},
chapter = {Selection of items fitting a Rasch model},
year = {2007},
date-added = {2010-01-10 11:33:23 +0100},
date-modified = {2010-01-10 11:33:25 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Hardouin-2007-Book_Mathematical%20methods.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1866},
rating = {0}
}

@article{Scharl:2009p13378,
author = {Theresa Scharl and Gerald Striedner and Florentina P{\"o}tschacher and Friedrich Leisch and Karl Bayer},
journal = {Microb Cell Fact},
title = {Interactive visualization of clusters in microarray data: an efficient tool for improved metabolic analysis of E. coli},
abstract = {ABSTRACT: BACKGROUND: Interpretation of comprehensive DNA microarray data sets is a challenging task for biologists and process engineers where scientific assistance of statistics and bioinformatics is essential. Interdisciplinary cooperation and concerted development of software-tools for simplified and accelerated data analysis and interpretation is the key to overcome the bottleneck in data-analysis workflows. This approach is exemplified by gcExplorer an interactive visualization toolbox based on cluster analysis. Clustering is an important tool in gene expression data analysis to find groups of co-expressed genes which can finally suggest functional pathways and interactions between genes. The visualization of gene clusters gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results. RESULTS: In this study the interactive visualization toolbox gcExplorer is applied to the interpretation of E. coli microarray data. The data sets derive from two fedbatch experiments conducted in order to investigate the impact of different induction strategies on the host metabolism and product yield. The software enables direct graphical comparison of these two experiments. The identification of potentially interesting gene candidates or functional groups is substantially accelerated and eased. CONCLUSION: It was shown that gcExplorer is a very helpful tool to gain a general overview of microarray experiments. Interesting gene expression patterns can easily be found, compared among different experiments and combined with information about gene function from publicly available databases.},
affiliation = {Department of Biotechnology, University of Natural Resources and Applied Life Sciences, Vienna, Muthgasse 18, A-1190 Vienna, Austria. gerald.striedner@boku.ac.at.},
pages = {37},
volume = {8},
year = {2009},
month = {Jan},
language = {eng},
date-added = {2010-07-01 19:14:34 +0200},
date-modified = {2010-07-01 19:14:35 +0200},
doi = {10.1186/1475-2859-8-37},
pii = {1475-2859-8-37},
pmid = {19604371},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Scharl-2009-Microb%20Cell%20Fact_Interactive%20visualiz.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p13378},
rating = {0}
}

@article{Quarantini:2008p4539,
author = {Lucas C Quarantini and Angela Miranda-Scippa and Susana Batista-Neves and Amanda Galv{\~a}o-de-Almeida and Acioly L Lacerda and Ta{\'\i}s S Moriyama and Aline S Sampaio and Ana C Melcop and Maria I Schinoni and Irismar R de Oliveira and Raymundo Paran{\'a} and Rodrigo A Bressan},
journal = {J Med Virol},
title = {The effect of early virological response in health-related quality of life in HCV-infected patients},
abstract = {Twenty-nine HCV-infected patients were treated with pegylated interferon alpha. Diagnosis was based on serum HCV RNA-PCR positive results and liver biopsy. All patients had elevated serum levels of alanine aminotransferase at the time of the study, but liver disease was compensated. Patients were evaluated at baseline treatment and after 4 and 12 weeks of antiviral treatment with the Medical Outcomes Study 36-item Short-Form Health Survey. The Mini-International Neuropsychiatric Interview was used to exclude previous or current psychiatric diagnoses. Both patients and psychiatrists were blind to the HCV RNA status, and serum HCV RNA test results only became available after the visit at week 12. After antiviral treatment, 16 patients (55.2%) were classified as nonresponders and 13 (44.8%) were classified as responders. When compared to nonresponders, responders had a greater improvement in the HRQOL scores for the mental health domain (P < .019). Differences in other domains were not significant. The present study confirms that active viral infection is one possible reason for the poor Health-Related Quality of Life in this population.},
affiliation = {Hospital Universit{\'a}rio Professor Edgard Santos, Universidade Federal da Bahia, Bahia, Brazil. lcq@ufba.br},
number = {3},
pages = {419--23},
volume = {80},
year = {2008},
month = {Mar},
language = {eng},
keywords = {Hepatitis C: Chronic, Male, Interferon Alfa-2a, Interferon Alfa-2b, Female, Health Surveys, Humans, RNA: Viral, Polyethylene Glycols, Hepacivirus, Antiviral Agents, Quality of Life, Middle Aged},
date-added = {2010-01-29 22:29:56 +0100},
date-modified = {2010-01-29 22:29:56 +0100},
doi = {10.1002/jmv.21094},
pmid = {18205211},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p4539},
rating = {0}
}

@article{Salomon:2004p1750,
author = {Joshua A Salomon and Ajay Tandon and Christopher J L Murray},
journal = {BMJ},
title = {Comparability of self rated health: cross sectional multi-country survey using anchoring vignettes},
abstract = {OBJECTIVE: To examine differences in expectations for health using anchoring vignettes, which describe fixed levels of health on dimensions such as mobility. DESIGN: Cross sectional survey of adults living in the community. SETTING: China, Myanmar, Sri Lanka, Pakistan, Turkey, and United Arab Emirates. PARTICIPANTS: 3012 men and women aged 18 years and older (self ratings); subsample of 406 (vignette ratings). MAIN OUTCOME MEASURES: Self rated mobility levels and ratings of hypothetical vignettes using the same questions and response categories. RESULTS: Consistent rankings of vignettes are evidence that vignettes are understood in similar ways in different settings, and internal consistency of orderings on two mobility questions indicates good comprehension. Variation in vignette ratings across age groups suggests that expectations for mobility decline with age. Comparison of responses to two different mobility questions supports the assumption that individual ratings of hypothetical vignettes relate to expectations for health in similar ways as self assessments. CONCLUSIONS: Anchoring vignettes could provide a powerful tool for understanding and adjusting for the influence of different health expectations on self ratings of health. Incorporating anchoring vignettes in surveys can improve the comparability of self reported measures.},
affiliation = {Department of Population and International Health, Center for Population and Development Studies, Harvard School of Public Health, 9 Bow Street, Cambridge, MA 02138, USA. jsalomon@hsph.harvard.edu},
number = {7434},
pages = {258},
volume = {328},
year = {2004},
month = {Jan},
language = {eng},
keywords = {Attitude to Health, Cross-Cultural Comparison, Health Status, Pilot Projects, Cross-Sectional Studies, World Health, Adolescent, Health Surveys, Female, Aged, Adult, Male, Middle Aged, Humans, Movement Disorders},
date-added = {2010-01-09 20:57:38 +0100},
date-modified = {2010-01-09 20:57:42 +0100},
doi = {10.1136/bmj.37963.691632.44},
pii = {bmj.37963.691632.44},
pmid = {14742348},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Salomon-2004-BMJ_Comparability%20of%20sel.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1750},
rating = {3}
}

@article{Verstralen:2000aa,
author = {H H F M Verstralen and N D Verhelst},
title = {IRT models for subjective weights of options of multiple choice questions.},
abstract = {From earlier investigations it was found that the information from Multiple Choice (MC) questions could be increased about four fold by having the subject indicate the subset of options that he is unable to expose as false. In the present models this approach is general ized by having the subject distribute a number of 'taws' over the options, or draw a line after the options, such that the number of taws given to an option, or the line length rejects its subjective degree of correctness. It appears that even with values of the relevant parameters that seem modest, the information relative to binary scoring still is in excess of two. This means that with less than half the test length the same accuracy or reliability can be obtained as with binary scoring. With a real data set we found a relative information greater than five. If a few main fallacies can be rejected in the distractors of the items, the model can be applied to identify subjects with one of these fallacies.},
year = {2000},
month = {Aug},
date-added = {2010-01-03 19:39:02 +0100},
date-modified = {2010-01-03 19:39:03 +0100},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Verstralen-2000-_IRT%20models%20for%20subje.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p1197},
rating = {0}
}

@article{Dipple:2001p5531,
author = {K M Dipple and J K Phelan and E R McCabe},
journal = {Mol Genet Metab},
title = {Consequences of complexity within biological networks: robustness and health, or vulnerability and disease},
affiliation = {Department of Pediatrics, UCLA School of Medicine and Mattel Children's Hospital at UCLA, Los Angeles, California 90095-1752, USA.},
number = {1-2},
pages = {45--50},
volume = {74},
year = {2001},
month = {Jan},
language = {eng},
keywords = {Genetic Predisposition to Disease, Phenotype, Proteome, Mutation, Nerve Net, Humans, Empiricism, Genotype, Health},
date-added = {2010-02-12 15:30:11 +0100},
date-modified = {2010-02-12 15:30:11 +0100},
doi = {10.1006/mgme.2001.3227},
pii = {S1096-7192(01)93227-5},
pmid = {11592802},
local-url = {file://localhost/Users/chl/Dropbox/Papers/Dipple-2001-Mol%20Genet%20Metab_Consequences%20of%20comp.pdf},
uri = {papers://58407365-8DEB-4C7D-995B-6322E39C7022/Paper/p5531},
rating = {0}
}

@article{Ma:2007p5893,
author = {Shuangge Ma and Xiao Song and Jian Huang},
journal = {BMC Bioinformatics},
title = {Supervised group Lasso with applications to microarray data analysis},
abstract = {BACKGROUND: A tremendous amount of efforts have been devoted to identifying genes for diagnosis and prognosis of diseases using microarray gene expression data. It has been demonstrated that gene expression data have cluster structure, where the clusters consist of co-regulated genes which tend to have coordinated functions. However, most available statistical methods for gene selection do not take into consideration the cluster structure. RESULTS: We propose a supervised group Lasso approach that takes into account the cluster structure in gene expression data for gene selection and predictive model building. For gene expression data without biological cluster information, we first divide genes into clusters using the K-means approach and determine the optimal number of clusters using the Gap method. The supervised group Lasso consists of two steps. In the first step, we identify important genes within each cluster using the Lasso method. In the second step, we select important clusters using the group Lasso. Tuning parameters are determined using V-fold cross validation at both steps to allow for further flexibility. Prediction performance is evaluated using leave-one-out cross validation. We apply the proposed method to disease classification and survival analysis with microarray data. CONCLUSION: We analyze four microarray data sets using the proposed approach: two cancer data sets with binary cancer occurrence as outcomes and two lymphoma data sets with survival outcomes. The results show that the proposed approach is capable of identifying a small number of influential gene clusters and important genes within those clusters, and has better prediction performance than existing methods.},
affiliation = {Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA

repository: sergiud/bibtex-spirit

repo_name: sergiud/bibtex-spirit

gha_license_id: MIT