collaborators

5 papers

stat.ME2026

Evaluating Efficiency of Platform Trials Under Delayed Outcomes Using Treatment Throughput

Aritra Mukherjee, James M. S. Wason

Background: Platform trials improve efficiency by enabling early stopping of ineffective arms, shared controls, and addition of new treatments without compromising statistical prop…

stat.ME2026

Comparing Bayesian Dynamic Borrowing and Synthetic Control Methods: Apples to Oranges?

Nicole Cizauskas, Foteini Strimenopoulou, Svetlana S. Cherlin +1

Bayesian dynamic borrowing (BDB) and synthetic control methods (SCM) are strategies to incorporate historical data in clinical trial design when control recruitment is a challenge.…

stat.ME2024

Augmented Binary Method for Basket Trials (ABBA)

Svetlana Cherlin, James M S Wason

In several clinical areas, traditional clinical trials often use a responder outcome, a composite endpoint that involves dichotomising a continuous measure. An augmented binary met…

stat.ME2024

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…

stat.ME2024

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights

Lou E. Whitehead, James M. S. Wason, Oliver Sailer +1

Randomized controlled clinical trials provide the gold standard for evidence generation in relation to the efficacy of a new treatment in medical research. Relevant information fro…