activity
20122021
most citedUsing simulation studies to evaluate statistical methods

1.4k citations · 2.1k across the 9 of their papers we have counts for

collaborators

10 papers

stat.ME2021★ 2 cited

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…

stat.ME2020

Introducing the treatment hierarchy question in network meta-analysis

Georgia Salanti, Adriani Nikolakopoulou, Orestis Efthimou +3

Background: Comparative effectiveness research using network meta-analysis can present a hierarchy of competing treatments, from the least to most preferable option. However, the r…

stat.AP2019

The design and statistical aspects of VIETNARMS: a strategic post-licensing trial of multiple oral direct acting antiviral Hepatitis C treatment strategies in Vietnam

L. McCabe, I. R. White, N. V. Vinh Chau +4

Background Achieving hepatitis C elimination is hampered by the costs of treatment and the need to treat hard-to-reach populations. Treatment access could be widened by shortening…

stat.ME2019

Handling an uncertain control group event risk in non-inferiority trials: non-inferiority frontiers and the power-stabilising transformation

Matteo Quartagno, A. Sarah Walker, Abdel G. Babiker +4

Background. Non-inferiority (NI) trials are increasingly used to evaluate new treatments expected to have secondary advantages over standard of care, but similar efficacy on the pr…

stat.ME2017★ 1.4k cited

Using simulation studies to evaluate statistical methods

Tim P Morris, Ian R White, Michael J Crowther

Simulation studies are computer experiments that involve creating data by pseudorandom sampling. The key strength of simulation studies is the ability to understand the behaviour o…

stat.ME2017★ 50 cited

A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects

Dan Jackson, Sylwia Bujkiewicz, Martin Law +2

Random-effects meta-analyses are very commonly used in medical statistics. Recent methodological developments include multivariate (multiple outcomes) and network (multiple treatme…