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- University College LondonGB16 papers
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4 papers · 2 filters
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…
Multiple imputation in Cox regression when there are time-varying effects of exposures
Ruth H. Keogh, Tim P. Morris
In Cox regression it is sometimes of interest to study time-varying effects (TVE) of exposures and to test the proportional hazards assumption. TVEs can be investigated with log ha…
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…
A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials
Ian R. White, James Carpenter, Nicholas J. Horton
Most analyses of randomised trials with incomplete outcomes make untestable assumptions and should therefore be subjected to sensitivity analyses. However, methods for sensitivity…