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

Abstract:

: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.

journal_name

Eval Health Prof

authors

Fairchild AJ,Abara WE,Gottschall AC,Tein JY,Prinz RJ

doi

10.1177/0163278713512124

subject

Has Abstract

pub_date

2015-09-01 00:00:00

pages

315-42

issue

3

eissn

0163-2787

issn

1552-3918

pii

0163278713512124

journal_volume

38

pub_type

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