1.4k citations · 1.7k across the 11 of their papers we have counts for
3 papers · 1 filter
On the mixed-model analysis of covariance in cluster-randomized trials
Bingkai Wang, Michael O. Harhay, Jiaqi Tong +3
In the analyses of cluster-randomized trials, mixed-model analysis of covariance (ANCOVA) is a standard approach for covariate adjustment and handling within-cluster correlations.…
Covariate adjustment in randomised trials: canonical link functions protect against model mis-specification
Ian R. White, Tim P Morris, Elizabeth Williamson
Covariate adjustment has the potential to increase power in the analysis of randomised trials, but mis-specification of the adjustment model could cause error. We explore what erro…
Planning a method for covariate adjustment in individually-randomised trials: a practical guide
Tim P. Morris, A. Sarah Walker, Elizabeth J. Williamson +1
Background: It has long been advised to account for baseline covariates in the analysis of confirmatory randomised trials, with the main statistical justifications being that this…