8 citations · 15 across the 9 of their papers we have counts for
15 papers · 1 filter
Online error control for platform trials
David S. Robertson, James M. S. Wason, Franz König +2
Platform trials evaluate multiple experimental treatments under a single master protocol, where new treatment arms are added to the trial over time. Given the multiple treatment co…
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…
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…
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…
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…
Online control of the false discovery rate in biomedical research
David S. Robertson, James M. S. Wason
Modern biomedical research frequently involves testing multiple related hypotheses, while maintaining control over a suitable error rate. In many applications the false discovery r…