13 citations · 29 across the 18 of their papers we have counts for
22 papers
Gain-function optimisation of graphical multiple testing procedures for confirmatory clinical trials
Alexander D. V. Spiers, Michael J. Grayling, Graham M. Wheeler +1
Graphical multiple testing procedures are a flexible and transparent way to control the family-wise error rate when a confirmatory trial pursues several label claims, but they leav…
Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
Laura Etfer, James M. S. Wason, Michael J. Grayling
Under a generalised estimating equation analysis approach, approximate design theory is used to determine Bayesian D-optimal designs. For two examples, considering simple exchangea…
Evaluating the impact of outcome delay on the efficiency of two-arm group-sequential trials
Aritra Mukherjee, Michael J. Grayling, James M. S. Wason
Adaptive designs(AD) are a broad class of trial designs that allow preplanned modifications based on patient data providing improved efficiency and flexibility. However, a delay in…
Utilising high-dimensional data in randomised clinical trials: a review of methods and practice
Svetlana Cherlin, Theophile Bigirumurame, Michael J Grayling +6
Introduction: Even in effectively conducted randomised trials, the probability of a successful study remains relatively low. With recent advances in the next-generation sequencing…
Bayesian sample size determination in basket trials borrowing information between subsets
Haiyan Zheng, Michael J. Grayling, Pavel Mozgunov +2
Basket trials are increasingly used for the simultaneous evaluation of a new treatment in various patient subgroups under one overarching protocol. We propose a Bayesian approach t…
Multi-outcome trials with a generalised number of efficacious outcomes
Martin Law, Michael J. Grayling, Adrian P. Mander
Existing multi-outcome designs focus almost entirely on evaluating whether all outcomes show evidence of efficacy or whether at least one outcome shows evidence of efficacy. While…