The DOI matches its Crossref record; 253 of the 255 references it cites were found in a registry or an index.
Review of Recent Methodological Developments in Group-Randomized Trials: Part 2—Analysis
Open accessAbstract
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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Cites
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
Mixed-Effects Models in Sand S-PLUS
Pinheiro, J. C., & Bates, D. M. (2000) · Statistics and Computing · doi:10.1007/978-1-4419-0318-1 · Cited by 11,187
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Zeger, S. L., & Liang, K. (1986) · Biometrics · doi:10.2307/2531248 · Cited by 7,781
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085542 · Cited by 5,688
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552
An Approximate Distribution of Estimates of Variance Components
Satterthwaite, F. E. (1946) · Biometrics Bulletin · doi:10.2307/3002019 · Cited by 4,373
Consort 2010 statement: extension to cluster randomised trials
Campbell, M. K., Piaggio, G., Elbourne, D. R., Altman, D. G., & for the CONSORT Group (2012) · BMJ · doi:10.1136/bmj.e5661 · Cited by 3,510
Dialysis Dose and Intradialytic Hypotension: Results from the HEMO Study
Causland, F. R. M., Brunelli, S. M., & Waikar, S. S. (2013) · American Journal of Nephrology · doi:10.1159/000355958 · Cited by 2,705
CONSORT statement: extension to cluster randomised trials
Campbell, M. K., Elbourne, D. R., & Altman, D. G. (2004) · BMJ · doi:10.1136/bmj.328.7441.702 · Cited by 2,557
TheRPackagegeepackfor Generalized Estimating Equations
Halekoh, U., Højsgaard, S., & Yan, J. (2006) · Journal of Statistical Software · doi:10.18637/jss.v015.i02 · Cited by 1,921
Research works printed but not linked: 8
- Fu D, 2006, A Comparison Study of General Linear Mixed Model and Permutation Tests in Group-Randomized Trials Under Non-Normal Error Distributions [dissertation]
- Khajeh-Kazemi R, 2011, J Res Med Sci, 16, 235
- Gruber S, 2010, Int J Biostat, 6, 1
- Ebola ça Suffit Ring Vaccination Trial Consortium, 2015, BMJ, 351, h3740
- Ma J, 2012, J Open Access Med Stat, 2, 93
- 10.1002/1097-0258(20010215)20:3<473::AID-SIM805>3.0.CO;2-D · DOI
- Zeng D, 2008, Stat Sin, 18, 355
- Xu Z, 2011, Statistical Design and Survival Analysis in Cluster Randomized Trials [dissertation]
Cited by
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Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research
Handley, M. A., Lyles, C. R., McCulloch, C., & Cattamanchi, A. (2018) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040617-014128 · Cited by 428
Li, F., Hughes, J. P., Hemming, K., Taljaard, M., Melnick, E. R., & Heagerty, P. J. (2020) · Statistical Methods in Medical Research · doi:10.1177/0962280220932962 · Cited by 212
Self-citationReview of Recent Methodological Developments in Group-Randomized Trials: Part 1—Design
Turner, E. L., Li, F., Gallis, J. A., Prague, M., & Murray, D. M. (2017) · American Journal of Public Health · doi:10.2105/ajph.2017.303706 · Cited by 175
Self-citationReducing Cardiovascular Disparities Through Community-Engaged Implementation Research
Mensah, G. A., Cooper, R., Siega‐Riz, A. M., Cooper, L. A., Smith, J. D., Brown, C. H., Westfall, J. M., Ofili, E., Price, L. N., Arteaga, S. S., et al. (2018) · Circulation Research · doi:10.1161/circresaha.117.312243 · Cited by 123
Estimands in cluster-randomized trials: choosing analyses that answer the right question
Kahan, B. C., Li, F., Copas, A. J., & Harhay, M. O. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyac131 · Cited by 127
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Metadata
- 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...
- 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
- 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
- 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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