Using Item Response Theory to Model Multiple Phenotypes and Their Joint Heritability in Family Data-Reference-Cited by-同舟云学术

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Using Item Response Theory to Model Multiple Phenotypes and Their Joint Heritability in Family Data

Published:2014-01-12 Issue:2 Volume:38 Page:152-161
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Fragoso Tiago M.¹,Giolo Suely R.²,Pereira Alexandre C.³,de Andrade Mariza⁴,Soler Julia M. P.¹

Affiliation:

1. Department of Statistics; University of São Paulo; Brazil

2. Department of Statistics; Federal University of Paraná; Brazil

3. Heart Institute; Medical School University of São Paulo; Brazil

4. Mayo Clinic; Rochester MN United States of America

Funder

Brazilian National Counsel of Technological and Scientific Development (CNPq)

Laboratory of Advanced Scientific Computation of the University of São Paulo (USP)

Genetics and Molecular Cardiology Laboratory at the Heart Institute

Medical School University of São Paulo

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Reference43 articles.

1. Bivariate quantitative trait linkage analysis: pleiotropy versus coincident linkages;Almasy;Genet Epidemiol,1997

2. Comparison of multivariate tests for genetic linkage;Amos;Hum Hered,2001

3. Item Response Theory

4. MCMC estimation and some model-fit analysis in multidimensional IRT models;Beguin;Psychometrika,2001

5. Estimation of compensatory and noncompensatory multidimensional item response models using markov chain monte carlo;Bolt;Appl Psychol Meas,2003

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium;Educational and Psychological Measurement;2020-02-05

2. Cohort profile: the Baependi Heart Study—a family-based, highly admixed cohort study in a rural Brazilian town;BMJ Open;2016-10

3. Bayesian Variable Selection in Multilevel Item Response Theory Models with Application in Genomics;Genetic Epidemiology;2016-03-29

4. Effect of Genome and Environment on Metabolic and Inflammatory Profiles;PLOS ONE;2015-04-08

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