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.
Biometrika , pages=
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Adapts bandit algorithms to the Cox PH survival model for online treatment optimization under censoring, with theoretical sublinear regret and validation on simulations plus SEER cancer data.
citing papers explorer
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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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Online Survival Analysis: A Bandit Approach under Cox PH Model
Adapts bandit algorithms to the Cox PH survival model for online treatment optimization under censoring, with theoretical sublinear regret and validation on simulations plus SEER cancer data.