Informative cluster size in cluster-randomised trials: A case study from the TRIGGER trial.

ABSTRACT:

Background

Recent work has shown that cluster-randomised trials can estimate two distinct estimands: the participant-average and cluster-average treatment effects. These can differ when participant outcomes or the treatment effect depends on the cluster size (termed informative cluster size). In this case, estimators that target one estimand (such as the analysis of unweighted cluster-level summaries, which targets the cluster-average effect) may be biased for the other. Furthermore, commonly used estimators such as mixed-effects models or generalised estimating equations with an exchangeable correlation structure can be biased for both estimands. However, there has been little empirical research into whether informative cluster size is likely to occur in practice.

Method

We

SUBMITTER: Kahan BC 

PROVIDER: S-EPMC10638852 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature