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

Author

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  • Murray, D.M.
  • Varnell, S.P.
  • Blitstein, J.L.

Abstract

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.

Suggested Citation

  • Murray, D.M. & Varnell, S.P. & Blitstein, J.L., 2004. "Design and Analysis of Group-Randomized Trials: A Review of Recent Methodological Developments," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 423-432.
    • Handle: RePEc:aph:ajpbhl:2004:94:3:423-432_7
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    Citations

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    Cited by:

    1. Jonathan L. Blitstein & Peter J. Hannan & David M. Murray & William R. Shadish, 2005. "Increasing the Degrees of Freedom in Existing Group Randomized Trials," Evaluation Review, , vol. 29(3), pages 241-267, June.
    2. Jonathan L. Blitstein & David M. Murray & Peter J. Hannan & William R. Shadish, 2005. "Increasing the Degrees of Freedom in Future Group Randomized Trials," Evaluation Review, , vol. 29(3), pages 268-286, June.
    3. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    4. Steven Teerenstra & Bing Lu & John S. Preisser & Theo van Achterberg & George F. Borm, 2010. "Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials," Biometrics, The International Biometric Society, vol. 66(4), pages 1230-1237, December.
    5. Wang Pengyuan & Traskin Mikhail & Small Dylan S., 2013. "Robust Inferences from a Before-and-After Study with Multiple Unaffected Control Groups," Journal of Causal Inference, De Gruyter, vol. 1(2), pages 209-234, June.
    6. Yasaman Jamshidi-Naeini & Armando Pena & Abu Bakkar Siddique & Andrew W. Brown & David B. Allison, 2023. "One Cluster per Condition Is Not a Valid Design in Cluster-Randomized Trials. Comment on Wang et al. The Effect of Different Physical Exercise Programs on Physical Fitness among Preschool Children: A ," IJERPH, MDPI, vol. 20(17), pages 1-2, August.
    7. repec:mpr:mprres:4632 is not listed on IDEAS
    8. Hélène Sancho-Garnier & Bruno Pereira & Pierre Césarini, 2012. "A Cluster Randomized Trial to Evaluate a Health Education Programme “Living with Sun at School”," IJERPH, MDPI, vol. 9(7), pages 1-17, July.
    9. Konstantopoulos, Spyros, 2006. "The Power of the Test in Three-Level Designs," IZA Discussion Papers 2412, Institute of Labor Economics (IZA).
    10. Jose Giovany Babativa-Márquez & José Luis Vicente-Villardón, 2021. "Logistic Biplot by Conjugate Gradient Algorithms and Iterated SVD," Mathematics, MDPI, vol. 9(16), pages 1-19, August.
    11. Winfried Zinn & Sebastian Sauer & Richard Göllner, 2016. "The German Inpatient Satisfaction Scale," SAGE Open, , vol. 6(2), pages 21582440166, April.
    12. Raphiel Murden & Jon Agley & Lilian Golzarri-Arroyo & Armando Peña & Danny Valdez & Abu Bakkar Siddique & Moonseong Heo & David B. Allison, 2023. "Comment on Marsigliante et al. Effects on Children’s Physical and Mental Well-Being of a Physical-Activity-Based School Intervention Program: A Randomized Study. Int. J. Environ. Res. Public Health 20," IJERPH, MDPI, vol. 20(23), pages 1-5, December.
    13. Dateng Li & Jing Cao & Song Zhang, 2020. "Power analysis for cluster randomized trials with multiple binary co‐primary endpoints," Biometrics, The International Biometric Society, vol. 76(4), pages 1064-1074, December.
    14. Spyros Konstantopoulos, 2009. "Incorporating Cost in Power Analysis for Three-Level Cluster-Randomized Designs," Evaluation Review, , vol. 33(4), pages 335-357, August.
    15. Ji-Hyun Lee & Michael J Schell & Richard Roetzheim, 2009. "Analysis of Group Randomized Trials with Multiple Binary Endpoints and Small Number of Groups," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-9, October.
    16. Fang Yu & Nicholas A Hein & Danstan S Bagenda, 2020. "Preventing HIV and HSV-2 through knowledge and attitudes: A replication study of a multi-component community-based intervention in Zimbabwe," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-25, January.
    17. Larry V. Hedges, 2009. "Adjusting a Significance Test for Clustering in Designs With Two Levels of Nesting," Journal of Educational and Behavioral Statistics, , vol. 34(4), pages 464-490, December.
    18. Peter Z. Schochet, "undated". "Statistical Power for Random Assignment Evaluations of Education Programs," Mathematica Policy Research Reports 6749d31ad72d4acf988f7dce5, Mathematica Policy Research.
    19. Benjamin F. Arnold & Francois Rerolle & Christine Tedijanto & Sammy M. Njenga & Mahbubur Rahman & Ayse Ercumen & Andrew Mertens & Amy J. Pickering & Audrie Lin & Charles D. Arnold & Kishor Das & Chris, 2024. "Geographic pair matching in large-scale cluster randomized trials," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    20. Siying Guo & Jianxuan Liu & Qiu Wang, 2022. "Effective Learning During COVID-19: Multilevel Covariates Matching and Propensity Score Matching," Annals of Data Science, Springer, vol. 9(5), pages 967-982, October.
    21. Walt Stroup & Elizabeth Claassen, 2020. "Pseudo-Likelihood or Quadrature? What We Thought We Knew, What We Think We Know, and What We Are Still Trying to Figure Out," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 639-656, December.

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