Design and Analysis of Multi-Arm, Multi-Stage Clinical Studies
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We consider the problem of multiple comparisons with control in a
clinical trial with treatment selection at the interim(s). Our
approach is an extension of group sequential methodology that involves
joint monitoring of the correlated, sufficient test
statistics. We show the heavy computation involved can be
dramatically reduced when the number of stages is small and the number
of treatments is large.
When designing the trial, sample size can be chosen to satisfy a power
requirement based on the least favourable configuration of treatment
effects. At each analysis, simultaneous confidence intervals are
easily found such that the overall coverage is at the required level.
This talk is part of the MRC Biostatistics Unit Seminars series.
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