A Retrospective Likelihood Approach for Efficient Integration of Multiple Omics Factors in Case-Control Association Studies-Reference-Cited by-同舟云学术

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A Retrospective Likelihood Approach for Efficient Integration of Multiple Omics Factors in Case-Control Association Studies

Published:2015-01-24 Issue:3 Volume:39 Page:156-165
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Balliu Brunilda¹,Tsonaka Roula¹,Boehringer Stefan¹,Houwing-Duistermaat Jeanine¹

Affiliation:

1. Department of Medical Statistics and Bioinformatics; Leiden University Medical Center; The Netherlands

Funder

European Union's Seventh Framework Program (FP7-Health-F5-2012)

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.21884/fullpdf

Reference41 articles.

1. On the semi-parametric efficiency of logistic regression under case-control sampling;Breslow;Bernoulli,2000

2. Normalization of gene-expression microarray data;Calza;Methods Mol Biol,2010

3. Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies;Chatterjee;Biometrika,2005

4. Variations in DNA elucidate molecular networks that cause disease;Chen;Nature,2008

5. Sex-biased genetic effects on gene regulation in humans;Dimas;Genome Res,2012

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2. Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS);Journal of the Royal Statistical Society Series C: Applied Statistics;2022-08-16

3. TiMEG: an integrative statistical method for partially missing multi-omics data;Scientific Reports;2021-12

4. TiMEG: an integrative approach for partially missing multi-omics data with an application to tuberous sclerosis;2020-12-11

5. A flexible copula‐based approach for the analysis of secondary phenotypes in ascertained samples;Statistics in Medicine;2019-12-23

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