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20152026
most citedMulti-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges

246 citations · 384 across the 27 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

stat.ME2019

Sample Size Estimation using a Latent Variable Model for Mixed Outcome Co-Primary, Multiple Primary and Composite Endpoints

Martina McMenamin, Jessica K. Barrett, Anna Berglind +1

Mixed outcome endpoints that combine multiple continuous and discrete components to form co-primary, multiple primary or composite endpoints are often employed as primary outcome m…

stat.ME2019★ 8 cited

Bayesian design and analysis of external pilot trials for complex interventions

Duncan T. Wilson, James M. S. Wason, Julia Brown +2

External pilot trials of complex interventions are used to help determine if and how a confirmatory trial should be undertaken, providing estimates of parameters such as recruitmen…

stat.ME2019★ 46 cited

Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy

Haiyan Zheng, James M. S. Wason

Basket trials have emerged as a new class of efficient approaches in oncology to evaluate a new treatment in several patient subgroups simultaneously. In this paper, we extend the…

stat.CO2019

A web application for the design of multi-arm clinical trials

Michael J Grayling, James MS Wason

Multi-arm designs provide an effective means of evaluating several treatments within the same clinical trial. Given the large number of treatments now available for testing in many…

stat.ME2019★ 8 cited

Employing latent variable models to improve efficiency in composite endpoint analysis

Martina McMenamin, Jessica K. Barrett, Anna Berglind +1

Composite endpoints that combine multiple outcomes on different scales are common in clinical trials, particularly in chronic conditions. In many of these cases, patients will have…