Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators-Reference-Cited by-同舟云学术

Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators

Published:2021-08-17 Issue:27 Volume:40 Page:6038-6056
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Song Yanyi¹^ORCID,Zhou Xiang¹,Kang Jian¹,Aung Max T.¹,Zhang Min¹^ORCID,Zhao Wei²,Needham Belinda L.²,Kardia Sharon L. R.²,Liu Yongmei³,Meeker John D.⁴,Smith Jennifer A.²,Mukherjee Bhramar¹^ORCID

Affiliation:

1. Department of Biostatistics University of Michigan Ann Arbor Michigan USA

2. Department of Epidemiology University of Michigan Ann Arbor Michigan USA

3. Division of Cardiology, Department of Medicine Duke University School of Medicine Durham North Carolina USA

4. Department of Environmental Health Sciences University of Michigan Ann Arbor Michigan USA

Funder

Division of Mathematical Sciences

National Center on Minority Health and Health Disparities

National Heart, Lung, and Blood Institute

National Human Genome Research Institute

National Institute of General Medical Sciences

National Institute of Mental Health

National Institute on Drug Abuse

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9168

Reference64 articles.

1. A general approach to causal mediation analysis.

2. The Causal Mediation Formula—A Guide to the Assessment of Pathways and Mechanisms

3. Mediation analysis allowing for exposure–mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros.

4. Causal Mediation Analysis With Survival Data

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