Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects-Reference-Cited by-同舟云学术

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Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects

Published:2024-09-01 Issue:3 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Yang Fan¹,Chen Lin S.²,Oveisgharan Shahram³,Darbar Dawood⁴,Bennett David A.³

Affiliation:

1. Yau Mathematical Sciences Center, Tsinghua University

2. Department of Public Health Sciences, The University of Chicago

3. Rush Alzheimer’s Disease Center, Rush University Medical Center

4. Department of Pharmacology, University of Illinois at Chicago

Publisher

Institute of Mathematical Statistics

Reference43 articles.

1. Burgess, S., Butterworth, A. and Thompson, S. G. (2013). Mendelian randomization analysis with multiple genetic variants using summarized data. Genet. Epidemiol. 37 658–665.

2. Burgess, S., Small, D. S. and Thompson, S. G. (2017). A review of instrumental variable estimators for Mendelian randomization. Stat. Methods Med. Res. 26 2333–2355.

3. Zhao, Q., Wang, J., Hemani, G., Bowden, J. and Small, D. S. (2020). Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. Ann. Statist. 48 1742–1769.

4. Robins, J. M. and Greenland, S. (1992). Identifiability and exchangeability for direct and indirect effects. Epidemiology 3 143–155.

5. BURGESS, S., SCOTT, R. A., TIMPSON, N. J., SMITH, G. D. and THOMPSON, S. G. (2015). Using published data in Mendelian randomization: A blueprint for efficient identification of causal risk factors. Eur. J. Epidemiol. 30 543–552.

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