Background Cluster randomized controlled trials (cRCTs) are increasingly used but must be
analyzed carefully. We conducted a simulation study to evaluate the validity of a parametric�…

The intraclass correlation coefficient ρplays a key role in the design of cluster randomized
trials. Estimates of ρ obtained from previous cluster trials and used to inform sample size�…

Background Linear mixed models (LMM) are a common approach to analyzing data from
cluster randomized trials (CRTs). Inference on parameters can be performed via Wald tests�…

Background This work has investigated under what conditions confidence intervals around
the differences in mean costs from a cluster RCT are suitable for estimation using a�…

Abstract Background Cluster randomised trials (CRTs) are commonly analysed using mixed-
effects models or generalised estimating equations (GEEs). However, these analyses do not�…

Cluster randomized trials (CRTs) are studies in which clusters of subjects are randomized to
different trial arms. Due to the nature of outcomes within the same cluster to be correlated�…

Objectives: This work has investigated under what conditions cost-effectiveness data from a
cluster randomized trial (CRT) are suitable for analysis using a cluster-adjusted�…

Background Small number of clusters and large variation of cluster sizes commonly exist in
cluster-randomized trials (CRTs) and are often the critical factors affecting the validity and�…

Generalized linear mixed models (GLMM) are commonly used to analyze clustered data, but
when the number of clusters is small to moderate, standard statistical tests may produce�…

Accounting for dependent observations in cluster-randomized trials (CRTs) using nested
data is necessary in order to avoid misestimated standard errors resulting in questionable�…