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Journal of the American Statistical Association Volume 117, 2022 - Issue 537
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Applications and Case Studies Discussion

Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies

Zhonghua Liua Department of Statistics and Actuarial Science, University of Hong Kong, Pok Fu Lam, Hong KongCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3048-9823View further author information
ORCID Icon,
Jincheng Shenb Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, UTORCID Iconhttps://orcid.org/0000-0002-6551-3558View further author information
ORCID Icon,
Richard Barfieldc Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NCView further author information
,
Joel Schwartzd Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MAView further author information
,
Andrea A. Baccarellie Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, NYView further author information
&
Xihong Linf Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA;g Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MAORCID Iconhttps://orcid.org/0000-0001-7067-7752View further author information
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Pages 67-81 | Received 06 May 2020, Accepted 04 Apr 2021, Published online: 19 May 2021

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Lukang Huang, Wei Huang, Oliver Linton & Zheng Zhang. (2024) Nonparametric estimation of mediation effects with a general treatment. Econometric Reviews 43:2-4, pages 215-237.
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