A more powerful graphical group sequential multiple-testing procedure is introduced together with iterative algorithms for informative simultaneous confidence intervals that remain compatible with the test and provide reliable effect estimates.
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Derives a unified UMVCUE for general subpopulation selection rules in adaptive enrichment designs based on sample space partition.
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Informative Simultaneous Confidence Intervals for Graphical Group Sequential Test Procedures
A more powerful graphical group sequential multiple-testing procedure is introduced together with iterative algorithms for informative simultaneous confidence intervals that remain compatible with the test and provide reliable effect estimates.
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Unbiased estimation in two-stage adaptive enrichment designs
Derives a unified UMVCUE for general subpopulation selection rules in adaptive enrichment designs based on sample space partition.