Event

Cluster randomised trials have been implemented increasingly over the past 30 years or so.  More recently, design variants such as stepped wedge and crossover designs have been gaining favour (and flavour) due to emerging results that they have efficiency advantages over conventional parallel arm cluster randomised trials.  This talk will describe a number of variants of cluster randomised designs, placing analysis of data from these designs under a relatively simple statistical model commonly used in the literature.  This model is amenable to analytical decomposition of treatment effect estimators, leading to optimality considerations, and highlights the need for careful extensions to account for treatment effect heterogeneity.