Commentary: Using potential outcomes to understand causal mediation analysis

Kosuke Imai; Booil Jo; Elizabeth A. Stuart

doi:10.1080/00273171.2011.606743

Commentary: Using potential outcomes to understand causal mediation analysis

Kosuke Imai
, Booil Jo
, Elizabeth A. Stuart

Bloomberg School of Public Health

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

In this commentary, we demonstrate how the potential outcomes framework can help understand the key identification assumptions underlying causal mediation analysis. We show that this framework can lead to the development of alternative research design and statistical analysis strategies applicable to the longitudinal data settings considered by Maxwell, Cole, and Mitchell (2011).

Original language	English (US)
Pages (from-to)	861-873
Number of pages	13
Journal	Multivariate Behavioral Research
Volume	46
Issue number	5
DOIs	https://doi.org/10.1080/00273171.2011.606743
State	Published - 2011

ASJC Scopus subject areas

Statistics and Probability
Experimental and Cognitive Psychology
Arts and Humanities (miscellaneous)

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10.1080/00273171.2011.606743

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title = "Commentary: Using potential outcomes to understand causal mediation analysis",

abstract = "In this commentary, we demonstrate how the potential outcomes framework can help understand the key identification assumptions underlying causal mediation analysis. We show that this framework can lead to the development of alternative research design and statistical analysis strategies applicable to the longitudinal data settings considered by Maxwell, Cole, and Mitchell (2011).",

author = "Kosuke Imai and Booil Jo and Stuart, \{Elizabeth A.\}",

note = "Funding Information: This research was supported by the National Institute of Mental Health (MH083846, E. A. Stuart; MH086043, N.S. Ialongo) and the National Science Foundation (SES–0918968, K. Imai).",

year = "2011",

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AU - Imai, Kosuke

AU - Jo, Booil

AU - Stuart, Elizabeth A.

N1 - Funding Information: This research was supported by the National Institute of Mental Health (MH083846, E. A. Stuart; MH086043, N.S. Ialongo) and the National Science Foundation (SES–0918968, K. Imai).

PY - 2011

Y1 - 2011

N2 - In this commentary, we demonstrate how the potential outcomes framework can help understand the key identification assumptions underlying causal mediation analysis. We show that this framework can lead to the development of alternative research design and statistical analysis strategies applicable to the longitudinal data settings considered by Maxwell, Cole, and Mitchell (2011).

AB - In this commentary, we demonstrate how the potential outcomes framework can help understand the key identification assumptions underlying causal mediation analysis. We show that this framework can lead to the development of alternative research design and statistical analysis strategies applicable to the longitudinal data settings considered by Maxwell, Cole, and Mitchell (2011).

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DO - 10.1080/00273171.2011.606743

M3 - Article

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AN - SCOPUS:84855757202

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Commentary: Using potential outcomes to understand causal mediation analysis

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