Document Type
Article
Publication Date
Spring 3-10-2004
Journal / Book Title
Addictive Behaviors
Abstract
This article compares four mixed-model analyses valid for group-randomized trials (GRTs) involving a nested cohort design with a single pretest and a single posttest, the most common design used in GRTs. This study makes estimates of intraclass correlations (ICCs) available to investigators planning GRTs with alcohol, tobacco, and other drug measures as the outcomes of interest. It also provides formulae demonstrating the potential benefits to the standard error of the intervention effect of both adjustments for fixed and time-varying covariates, as well as correlations over time. These estimates will allow other researchers using these variables to plan their studies by performing a priori power analyses for any of four common analytic options.
DOI
https://doi.org/10.1016/j.addbeh.2004.01.002
MSU Digital Commons Citation
Janega, Jessica B.; Murray, David M.; Varnell, Sherri P.; Blitstein, Jonathan L.; Birnbaum, Amanda; and Lytle, Leslie A., "Assessing the most powerful analysis method for school-based intervention studies" (2004). Department of Public Health Scholarship and Creative Works. 70.
https://digitalcommons.montclair.edu/public-health-facpubs/70
Published Citation
Janega, Jessica B., David M. Murray, Sherri P. Varnell, Jonathan L. Blitstein, Amanda S. Birnbaum, and Leslie A. Lytle. "Assessing the most powerful analysis method for school-based intervention studies with alcohol, tobacco, and other drug outcomes." Addictive behaviors 29, no. 3 (2004): 595-606.
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