Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations.

ABSTRACT: Individually randomized group treatment (IRGT) trials, in which the clustering of outcome is induced by group-based treatment delivery, are increasingly popular in public health research. IRGT trials frequently incorporate longitudinal measurements, of which the proper sample size calculations should account for correlation structures reflecting both the treatment-induced clustering and repeated outcome measurements. Given the relatively sparse literature on designing longitudinal IRGT trials, we propose sample size procedures for continuous and binary outcomes based on the generalized estimating equations approach, employing the block exchangeable correlation structures with different correlation parameters for the treatment arm and for the control arm, and surveying five marginal mean mo

SUBMITTER: Wang X 

PROVIDER: S-EPMC10939061 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature