采用遵从平均因果效应分析方法考察随机鼓励试验的效果。
Employing complier average causal effect analytic methods to examine effects of randomized encouragement trials.
机构信息
Department of Psychology, Case Western Reserve University, Cleveland, Ohio 44106, USA.
出版信息
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.
摘要
目的
本文详细介绍了将Complier Average Causal Effect（CACE）分析应用于自适应物质使用预防试验中对青年结果的研究。
方法
使用青少年过渡计划中青少年的烟草使用报告，从 11 岁到 22 岁，对 CACE 分析进行了说明，该计划是一个以家庭为中心的随机鼓励试验，旨在在学校环境中进行。
结果
女性性别和早期同伴越轨行为预测了家庭对积极干预措施的参与度。此外，对于与治疗有接触的家庭，从 11 岁到 22 岁，青少年吸烟的比例有了长期的减少。
结论
CACE 建模技术使研究人员能够研究预测与核心干预措施的接触因素，并专门研究那些与这些措施接触的青少年的干预效果。
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