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

Am J Drug Alcohol Abuse. 2009;35(4):253-9. doi: 10.1080/00952990903005882.

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.

MeSH terms

  • Adolescent
  • Adolescent Behavior
  • Causality
  • Child
  • Family
  • Female
  • Humans
  • Juvenile Delinquency
  • Likelihood Functions
  • Male
  • Models, Statistical
  • Patient Compliance* / psychology
  • Patient Compliance* / statistics & numerical data
  • Psychometrics*
  • Randomized Controlled Trials as Topic / methods*
  • Risk Factors
  • Schools
  • Sex Factors
  • Smoking Prevention*
  • Urban Population
  • Young Adult