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Sizing a trial to alter the trajectory of health behaviours: methods, parameter estimates, and their application
David M Murray1, Jonathan L Blitstein, Peter J Hannan
1Division of Epidemiology, School of Public Health, The Ohio State University, B222 Starling Loving Hall, 320 West 10th Street, Columbus, OH 43210, USA. dmurray@sph.osu.edu
Abstract:
Group-randomized trials often involve repeat observations on the same participants. When there are no more than two observations from each participant, standard mixed-model regression methods for a pretest-posttest design can be used. When there are more than two observations from each participant, random coefficients models may be useful. This paper describes the random coefficients analysis appropriate to data from an extended nested cohort design and presents the methods for power analysis and sample size calculations based on that analysis. We provide estimates for the parameters required for those calculations for a number of adolescent health behaviours. We also show how the estimates can be used to plan a future trial.
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