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Bayesian Shrinkage Estimation of High Dimensional Causal Mediation Effects in Omics Studies
Yanyi Song, Xiang Zhou, Min Zhang, Wei Zhao, Yongmei Liu, Sharon L. R. Kardia, Ana V. Diez Roux, Belinda L. Needham, Jennifer A. Smith, Bhramar Mukherjee
doi: https://doi.org/10.1101/467399
Yanyi Song
1Department of Biostatistics, University of Michigan, Ann Arbor, MI, U.S.A.
Xiang Zhou
1Department of Biostatistics, University of Michigan, Ann Arbor, MI, U.S.A.
Min Zhang
1Department of Biostatistics, University of Michigan, Ann Arbor, MI, U.S.A.
Wei Zhao
2Department of Epidemiology, University of Michigan, Ann Arbor, MI, U.S.A.
Yongmei Liu
3Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, U.S.A.
Sharon L. R. Kardia
2Department of Epidemiology, University of Michigan, Ann Arbor, MI, U.S.A.
Ana V. Diez Roux
4Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA, U.S.A.
Belinda L. Needham
2Department of Epidemiology, University of Michigan, Ann Arbor, MI, U.S.A.
Jennifer A. Smith
2Department of Epidemiology, University of Michigan, Ann Arbor, MI, U.S.A.
Bhramar Mukherjee
1Department of Biostatistics, University of Michigan, Ann Arbor, MI, U.S.A.
Posted November 14, 2018.
Bayesian Shrinkage Estimation of High Dimensional Causal Mediation Effects in Omics Studies
Yanyi Song, Xiang Zhou, Min Zhang, Wei Zhao, Yongmei Liu, Sharon L. R. Kardia, Ana V. Diez Roux, Belinda L. Needham, Jennifer A. Smith, Bhramar Mukherjee
bioRxiv 467399; doi: https://doi.org/10.1101/467399
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