Determining the sample size for a cluster-randomised trial using knowledge elicitation: Bayesian hierarchical modelling of the intracluster correlation coefficient.

ABSTRACT:

Background

The intracluster correlation coefficient is a key input parameter for sample size determination in cluster-randomised trials. Sample size is very sensitive to small differences in the intracluster correlation coefficient, so it is vital to have a robust intracluster correlation coefficient estimate. This is often problematic because either a relevant intracluster correlation coefficient estimate is not available or the available estimate is imprecise due to being based on small-scale studies with low numbers of clusters. Misspecification may lead to an underpowered or inefficiently large and potentially unethical trial.

Methods

We apply a Bayesian approach to produce an intracluster correlation coefficient estimate and hence propose sample size for a planned clust

SUBMITTER: Tishkovskaya SV 

PROVIDER: S-EPMC10262340 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature