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Stat Med. 2009 Sep 20;28(21):2687-708. doi: 10.1002/sim.3643.

Developing multicomponent interventions using fractional factorial designs.

Author information

1
Department of Statistics and The Institute for Social Research, University of Michigan, Ann Arbor, MI, USA. bibhas@umich.edu

Abstract

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.

PMID:
19575485
PMCID:
PMC2746448
DOI:
10.1002/sim.3643
[Indexed for MEDLINE]
Free PMC Article
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