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March 2004, Vol 94, No. 3 | American Journal of Public Health 423-432
© 2004 American Public Health Association


PUBLIC HEALTH MATTERS

Design and Analysis of Group-Randomized Trials: A Review of Recent Methodological Developments

David M. Murray, PhD, Sherri P. Varnell, PhD, MS and Jonathan L. Blitstein, MS

David M. Murray and Jonathan L. Blitstein are with the Department of Psychology, College of Arts and Sciences, University of Memphis, Memphis, Tenn. Sherri P. Varnell is with Northrop-Grumman Mission Systems, Atlanta, Ga.

Correspondence: Requests for reprints should be sent to David M. Murray, PhD, 3693 Norriswood, 202 Psychology Bldg, Memphis, TN 38134 (e-mail: d.murray{at}mail.psyc.memphis.edu).

We review recent developments in the design and analysis of group-randomized trials (GRTs). Regarding design, we summarize developments in estimates of intraclass correlation, power analysis, matched designs, designs involving one group per condition, and designs in which individuals are randomized to receive treatments in groups. Regarding analysis, we summarize developments in marginal and conditional models, the sandwich estimator, model-based estimators, binary data, survival analysis, randomization tests, survey methods, latent variable methods and nonlinear mixed models, time series methods, global tests for multiple endpoints, mediation effects, missing data, trial reporting, and software.

We encourage investigators who conduct GRTs to become familiar with these developments and to collaborate with methodologists who can strengthen the design and analysis of their trials.




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