Work

Review of Recent Methodological Developments in Group-Randomized Trials: Part 2—Analysis

Year: 2017

Type: review

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.

Source: American Journal of Public Health

DOI: 10.2105/ajph.2017.303707

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

Institutions: Institut national de recherche en sciences et technologies du numérique, Harvard University, Duke University, SISTM: Statistics In System biology and Translational Medicine

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institute of Mental Health, National Institute of Allergy and Infectious Diseases, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Reducing Barriers to Mental Health Tasking Sharing, Early life adversities and the emergence of risk and resilience: a longitudinal study of child development, Methods to Advance the HIV Prevention Research Agenda, Innovative partnership to target antimalarial subsidies in the retail sector