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Review of Recent Methodological Developments in Group-Randomized Trials: Part 1-Design
Elizabeth L Turner1, Fan Li1, John A Gallis1
1Elizabeth 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.
This review updates methodological advancements in group-randomized trials (GRTs) design over 13 years, covering traditional and novel approaches like stepped-wedge and network-randomized GRTs.
Area of Science:
- Biostatistics
- Epidemiology
- Clinical Trial Design
Background:
- A 2004 review by Murray et al. summarized methodological developments in group-randomized trials (GRTs).
- Significant advancements in GRT design and analysis have occurred in the subsequent 13 years.
- This work serves as a companion to a review focusing on analytical developments.
Purpose of the Study:
- To review and highlight methodological developments in the design of group-randomized trials (GRTs) over the past 13 years.
- To update the comprehensive review of GRT methodologies from 2004.
- To discuss both established and emerging GRT designs.
Main Methods:
- Review of methodological literature published in the 13 years following the 2004 Murray et al. review.
- Discussion of developments in traditional GRT topics such as clustering and matching.
- Exploration of novel designs including constrained randomization, stepped-wedge, pseudocluster, and network-randomized GRTs.
Main Results:
- Identified advancements in established GRT design principles.
- Detailed new randomized designs that offer alternatives to standard parallel-arm GRTs.
- Highlighted designs like stepped-wedge, pseudocluster, and network-randomized GRTs that necessitate accounting for clustering in design and analysis.
Conclusions:
- The field of group-randomized trial design has evolved significantly since 2004.
- New designs provide flexible alternatives to traditional parallel-arm GRTs.
- Proper accounting for clustering remains critical in both the design and analysis of various GRT formats.
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