Quantile causal mediation analysis allowing longitudinal data-Reference-Cited by-同舟云学术

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Quantile causal mediation analysis allowing longitudinal data

Published:2017-08-07 Issue:26 Volume:36 Page:4182-4195
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Bind M.-A.¹^ORCID,VanderWeele T. J.²,Schwartz J. D.³,Coull B. A.⁴

Affiliation:

1. Department of Statistics; Harvard University; Cambridge MA U.S.A.

2. Epidemiology; Harvard School of Public Health; Boston MA U.S.A.

3. Environmental Health; Harvard School of Public Health; Boston MA U.S.A.

4. Department of Biostatistics; Harvard School of Public Health; Boston MA U.S.A.

Funder

Ziff fund at the Harvard University Center for the Environment

NIH Office of the Director

National Institutes of Health

Environmental Protection Agency

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference32 articles.

1. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations;Baron;J Pers Soc Psychol,1986

2. Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism;Rubin;Biometrics,1991

3. Direct and indirect causal effects via potential outcomes;Rubin;Scand J Stat,2004

4. A general approach to causal mediation analysis;Imai;Psychol Methods,2010

5. Identification of operating mediation and mechanism in the sufficient-component cause framework;Suzuki;Eur J Epidemiol,2011

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