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. 2009;35(4):253-9.
doi: 10.1080/00952990903005882.

Employing complier average causal effect analytic methods to examine effects of randomized encouragement trials

Arin M Connell  1
Affiliations

Employing complier average causal effect analytic methods to examine effects of randomized encouragement trials

Arin M Connell. Am J Drug Alcohol Abuse. 2009.

Abstract

Aims: This article details the application of Complier Average Causal Effect (CACE) analysis to the examination of youth outcomes from adaptive substance use prevention trials.

Methods: CACE analysis is illustrated using youth-reports of tobacco-use from ages 11 to 22, from the Adolescent Transitions Program, a family-focused randomized encouragement trial designed for delivery in the school setting.

Results: Female gender and early peer deviance predicted family engagement with active intervention components. Further, long-term reductions in youth tobacco use from age 11 to age 22 were found for families that engaged with treatment.

Conclusions: CACE modeling techniques enable researchers to examine factors that predict engagement with core intervention components and to examine intervention effects specifically for youth who engaged with those components.

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Figures

FIG. 1
FIG. 1
Example CACE model with covariates and categorical outcomes.
FIG. 2
FIG. 2
CACE results of intervention effect on the development of tobacco use.
See this image and copyright information in PMC

References

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