Review of recent methodological developments in group-randomized trials: part 2—analysis

Turner, Elizabeth L.; Prague, Melanie; Gallis, John A.; Li, Fan; Murray, David M.

doi:10.2105/ajph.2017.303707

Cited by 195Statistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Review of recent methodological developments in group-randomized trials: part 2—analysis

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Turner, Elizabeth L., Prague, Melanie, Gallis, John A., Li, Fan, Murray, David M.·2017·American Journal of Public Health

DOI 10.2105/ajph.2017.303707PMC PMC5463203

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Abstract

In 2004, Murray et al. reviewed methodological developments in the design and analysis of group-randomized trials (GRTs). We have updated that review with developments in analysis of the past 13 years, with a companion article to focus on developments in design. We discuss developments in the topics of the earlier review (e.g., methods for parallel-arm GRTs, individually randomized group-treatment trials, and missing data) and in new topics, including methods to account for multiple-level clustering and alternative estimation methods (e.g., augmented generalized estimating equations, targeted maximum likelihood, and quadratic inference functions). In addition, we describe developments in analysis of alternative group designs (including stepped-wedge GRTs, network-randomized trials, and pseudocluster randomized trials), which require clustering to be accounted for in their design and analysis.

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Review of Recent Methodological Developments in Group-Randomized Trials: Part 1—Design
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Group Randomized Trials
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Authors: Turner, E. L., Prague, M., Gallis, J. A., Li, F., & Murray, D. M.
Affiliations: Institut national de recherche en sciences et technologies du numérique (FR)
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. 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. Fan Li is with the Department of Biostatistics and Bioinformatics, Duke University. David M. Murray is with the Office of Disease Prevention, Division of Program...
ORCID: Turner, Elizabeth L.
Gallis, John A.
Li, Fan
Murray, David M.
Venue: American Journal of Public Health
Publisher: American Public Health Association
Published: 2017-07
Volume: 107
Issue: 7
Pages: 1078-1086
ISSN: 0090-0036 (ISSN-L)
1541-0048
DOI: 10.2105/ajph.2017.303707
PMC: PMC5463203
OpenAlex: W2605791502
Cited by: 195
References: 255
Citations by year: 2026: 12 · 2025: 18 · 2024: 16 · 2023: 22 · 2022: 38 · 2021: 26 · 2020: 28 · 2019: 15 · 2018: 13 · 2017: 6 · 2016: 1
FWCI: 11.79
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: American Journal of Public Health (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
HAL (submittedVersion, other-oa)
RePEc: Research Papers in Economics (submittedVersion)
Funders: National Institute of Mental Health (K01MH104310)
National Institute of Allergy and Infectious Diseases (R37AI051164, R01AI110478)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD075875)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords: group-randomized trials, statistical analysis methods, missing data, quadratic inference function, stepped wedge design
MeSH terms: Humans, Research Design, Models, Statistical, Cluster Analysis, Randomized Controlled Trials as Topic, Population Groups

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