Improving Our Ability to Evaluate Underlying Mechanisms of Behavioral Onset and Other Event Occurrence Outcomes A Discrete-Time Survival Mediation Model

The purpose of this article is to introduce and describe a statistical model that researchers can use to evaluate underlying mechanisms of behavioral onset and other event occurrence outcomes. Specifically, the article develops a framework for estimating mediation effects with outcomes measured in d...

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Bibliographic Details
Published inEvaluation & the health professions Vol. 38; no. 3; pp. 315 - 342
Main Authors Fairchild, Amanda J., Abara, Winston E., Gottschall, Amanda C., Tein, Jenn-Yun, Prinz, Ronald J.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.09.2015
SAGE PUBLICATIONS, INC
Subjects
Behavioral Research - methods
Behavioral Research - statistics & numerical data
Estimating techniques
Health administration
Health technology assessment
Humans
Intervention
Mediation
Models, Statistical
Multilevel Analysis
Outcome Assessment (Health Care)
Research Design
Statistics
Survival Analysis
discrete time
substance use
mediation
survival analysis
onset
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Summary:The purpose of this article is to introduce and describe a statistical model that researchers can use to evaluate underlying mechanisms of behavioral onset and other event occurrence outcomes. Specifically, the article develops a framework for estimating mediation effects with outcomes measured in discrete-time epochs by integrating the statistical mediation model with discrete-time survival analysis. The methodology has the potential to help strengthen health research by targeting prevention and intervention work more effectively as well as by improving our understanding of discretized periods of risk. The model is applied to an existing longitudinal data set to demonstrate its use, and programming code is provided to facilitate its implementation.
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ISSN:0163-2787
1552-3918
DOI:10.1177/0163278713512124