Intent-to-treat analysis of cluster randomized trials when clusters report unidentifiable outcome proportions.

ABSTRACT:

Background

Cluster randomized trials are designed to evaluate interventions at the cluster or group level. When clusters are randomized but some clusters report no or non-analyzable data, intent-to-treat analysis, the gold standard for the analysis of randomized controlled trials, can be compromised. This article presents a very flexible statistical methodology for cluster randomized trials whose outcome is a cluster-level proportion (e.g. proportion from a cluster reporting an event) in the setting where clusters report non-analyzable data (which in general could be due to nonadherence, dropout, missingness, etc.). The approach is motivated by a previously published stratified randomized controlled trial called, "The Randomized Recruitment Intervention Trial (RECRUIT)," designed t

SUBMITTER: DeSantis SM 

PROVIDER: S-EPMC9497422 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature