1.4k citations · 1.7k across the 11 of their papers we have counts for
11 papers
Introducing precision-weighted bias as a performance measure to inform the inclusion of adaptive designs in meta-analysis
Martin Law, David S. Robertson, Sofia S. Villar +4
We propose a novel, intuitive measure of statistical performance: precision-weighted bias. Precision-weighted bias is defined as the unconditional bias of an estimator weighted by…
How to design a MAMS-ROCI (aka DURATIONS) randomised trial: the REFINE-Lung case study
Matteo Quartagno, Ehsan Ghorani, Tim P Morris +2
Background. The DURATIONS design has been recently proposed as a practical alternative to a standard two-arm non-inferiority design when the goal is to optimise some continuous asp…
Phases of methodological research in biostatistics - building the evidence base for new methods
Georg Heinze, Anne-Laure Boulesteix, Michael Kammer +2
Although the biostatistical scientific literature publishes new methods at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific c…
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…