In 2004, Murray et al. reviewed methodological developments in the design and analysis of group-randomized trials (GRTs). We have highlighted the developments of the past 13 years in design with a companion article to focus on developments in analysis. As a pair, these articles update the 2004 review. We have discussed developments in the topics of the earlier review (e.g., clustering, matching, and individually randomized group-treatment trials) and in new topics, including constrained randomization and a range of randomized designs that are alternatives to the standard parallel-arm GRT. These include the stepped-wedge GRT, the pseudocluster randomized trial, and the network-randomized GRT, which, like the parallel-arm GRT, require clustering to be accounted for in both their design and analysis.

Elizabeth L Turner and John A Gallis are with the Department of Biostatistics and Bioinformatics Duke University Durham NC and the Duke Global Health Institute Duke University Fan Li is with the Department of Biostatistics and Bioinformatics Duke University Melanie Prague is with the Department of Biostatistics Harvard T H Chan School of Public Health Boston MA and Inria project team SISTM Bordeaux France David M Murray is with the Office of Disease Prevention Division of Program Coordination and Strategic Planning and the Office of the Director National Institutes of Health Rockville MD

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