Developing multicomponent interventions using fractional factorial designs

被引：73

作者：

Chakraborty, Bibhas ^{[1
,2
]}

Collins, Linda M. ^{[3
,4
]}

Strecher, Victor J. ^{[5
]}

Murphy, Susan A. ^{[1
,2
]}

机构：

[1] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Inst Social Res, Ann Arbor, MI 48109 USA

[3] Penn State Univ, Methodol Ctr, University Pk, PA 16802 USA

[4] Penn State Univ, Dept Human Dev & Family Studies, University Pk, PA 16802 USA

[5] Univ Michigan, Ctr Hlth Commun Res, Ann Arbor, MI 48109 USA

来源：

STATISTICS IN MEDICINE | 2009年 / 28卷 / 21期

基金：

美国国家卫生研究院;

关键词：

multicomponent intervention; experimental design; fractional factorial design; screening; follow-up studies; BEHAVIORAL INTERVENTION; CONTROLLED-TRIAL; CHILDREN; PROGRAM; PREVENT; RISK;

D O I：

10.1002/sim.3643

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Multicomponent interventions composed of behavioral, delivery, or implementation factors in addition to medications are becoming increasingly common in health sciences. A natural experimental approach to developing and refining such multicomponent interventions is to start with a large number of potential components and screen out the least active ones. Factorial designs can be used efficiently in this endeavor. We address common criticisms and misconceptions regarding the use of factorial designs in these screening studies. We also provide an operationalization of screening studies. As an example, we consider the use of a screening study in the development of a multicomponent smoking cessation intervention. Simulation results are provided to support the discussions. Copyright (C) 2009 John Wiley & Sons, Ltd.

引用

页码：2687 / 2708

页数：22

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