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

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Publicado en:American Journal of Public Health vol. 94, no. 3 (Mar 2004), p. 423-432
Autor principal: Murray, David M
Otros Autores: Varnell, Sherri P, Blitstein, Jonathan L
Publicado:
American Public Health Association
Materias:
Cluster Analysis
Epidemiologic Research Design
Humans
Intervention Studies
Public Health Practice
Randomized Controlled Trials as Topic > methods
Software
Time Factors
Clinical trials
Comparative studies
Public health
Design
Survival analysis
Estimates
Occupational health
Social environment
Allocation
Clinical research
Built environment
Medicine
Groups
Social
Acceso en línea:Citation/Abstract
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Resumen:Murray et al review recent developments in the design and analysis of group-randomized trials (GRTs), comparative studies designed to evaluate interventions that operate at a group level, manipulate the physical or social environment, or cannot be delivered to individuals. Examples of GRTs include school-, worksite-, and community-based studies designed to improve the health of students, employees, and residents, respectively. Just as the randomized clinical trial is the gold standard in public health and medicine when allocation of individual participants is possible, the GRT is the gold standard when allocation of identifiable groups is necessary. Moreover, they encourage investigators who conduct GRTs to become familiar with the developments and to collaborate with the methodologists who can strengthen the design and analysis of their trials.   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.
ISSN:0090-0036
0002-9572
0271-4353
0273-1975
Fuente:ABI/INFORM Global