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7 - Time-Varying Effect Modeling to Examine Recovery Outcomes across Four Years

from Part I - Micro Level

Published online by Cambridge University Press:  23 December 2021

By
Ashley N. Linden-Carmichael ,
Samuel W. Stull ,
Christy K. Scott  and
Michael L. Dennis
Edited by
Jalie A. Tucker  and
Katie Witkiewitz
Jalie A. Tucker
Affiliation:
University of Florida
Katie Witkiewitz
Affiliation:
University of New Mexico
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Summary

This chapter introduces readers to the use of time-varying effect modeling (TVEM), a statistical tool for capturing dynamic changes over time, as applied to the study of substance use disorder recovery processes. The chapter presents an empirical demonstration of using TVEM to examine the effect of an intervention, Recovery Management Checkups (RMCs), on substance use and key features of the ongoing process of recovery (life satisfaction, cognitive avoidance, self-efficacy) as a continuous function of time. The example application data come from the Early Re-Intervention experiment of 446 adults from a large addiction treatment agency who were randomly assigned to receive RMCs or an assessment control. Given the time-varying nature of the effect of the RMC on recovery outcomes and the differential patterns observed by type of outcome, TVEM may be a viable option in lieu of or in addition to using common metrics of “treatment success.” SAS syntax is provided.

Keywords

time-varying effect modelingrecovery management checkupsEarly Re-Interventionlife satisfactioncognitive avoidanceself-efficacy
Type
Chapter
Information
Dynamic Pathways to Recovery from Alcohol Use Disorder
Meaning and Methods
 , pp. 114 - 136
Publisher: Cambridge University Press
Print publication year: 2022

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