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Design and Analysis of Multi-Arm, Multi-Stage Clinical Studies

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If you have a question about this talk, please contact Li Su .

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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