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

Employing complier average causal effect analytic methods to examine effects of randomized encouragement trials.
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DOI:
10.1080/00952990903005882
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发表时间:
2009
期刊:
The American journal of drug and alcohol abuse
影响因子:
--
通讯作者:
Connell AM
Connell AM
中科院分区:
其他
文献类型:
--
作者:
Connell AM

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本文详细介绍了应用编译器平均因果效应(CACE)分析,以检查适应性物质使用预防试验的青年成果。CACE分析使用青少年过渡计划的11至22岁的烟草使用的青年报告进行说明,该计划是一项以家庭为中心的随机鼓励试验,旨在在学校环境中进行女性性别和早期同伴偏差预测家庭参与积极干预成分。此外,在接受治疗的家庭中,11岁至22岁的青少年烟草使用量长期减少。CACE建模技术使研究人员能够检查预测参与核心干预组件的因素,并检查专门针对参与这些组件的青少年的干预效果。
This article details the application of Complier Average Causal Effect (CACE) analysis to the examination of youth outcomes from adaptive substance use prevention trials. 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 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. 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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