4 citations · 4 across the 1 of their papers we have counts for
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Point estimation for adaptive trial designs II: practical considerations and guidance
David S. Robertson, Babak Choodari-Oskooei, Munya Dimairo +3
In adaptive clinical trials, the conventional end-of-trial point estimate of a treatment effect is prone to bias, that is, a systematic tendency to deviate from its true value. As…
Familywise error rate control for block response-adaptive randomization
Ekkehard Glimm, David Robertson
Response-adaptive randomization allows the probabilities of allocating patients to treatments in a clinical trial to change based on the previously observed response data, in order…
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…
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…
Design optimisation and post-trial analysis in group sequential stepped-wedge cluster randomised trials
Michael Grayling, David Robertson, James Wason +1
Recently, methodology was presented to facilitate the incorporation of interim analyses in stepped-wedge (SW) cluster randomised trials (CRTs). Here, we extend this previous discus…
Familywise error control in multi-armed response-adaptive trials
David S. Robertson, James M. S. Wason
Response-adaptive designs allow the randomization probabilities to change during the course of a trial based on cumulated response data, so that a greater proportion of patients ca…