Semiparametric Bayesian variable selection for gene‐environment interactions-Reference-Cited by-同舟云学术

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Semiparametric Bayesian variable selection for gene‐environment interactions

Published:2019-12-21 Issue:5 Volume:39 Page:617-638
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Ren Jie¹,Zhou Fei¹,Li Xiaoxi¹,Chen Qi²,Zhang Hongmei³,Ma Shuangge⁴^ORCID,Jiang Yu³,Wu Cen¹^ORCID

Affiliation:

1. Department of StatisticsKansas State University Manhattan Kansas

2. Department of Pharmacology, Toxicology and TherapeuticsUniversity of Kansas Medical Center Kansas City Kansas

3. Division of Epidemiology, Biostatistics and Environmental Health, School of Public HealthUniversity of Memphis Memphis Tennessee

4. Department of BiostatisticsYale University New Haven Connecticut

Funder

National Institutes of Health

Office of Research and Development

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8434

Reference49 articles.

1. Gene–environment interactions in human diseases

2. Gene-Environment Interactions in Cancer Epidemiology: A National Cancer Institute Think Tank Report

3. Testing Gene-Environment Interaction in Large-Scale Case-Control Association Studies: Possible Choices and Comparisons

4. Centers for Disease Control and Prevention.National Diabetes Statistics Report.Atlanta GA:Centers for Disease Control and Prevention:2017.

5. Varying coefficient model for gene–environment interaction: a non-linear look

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