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Some extensions and applications of a Bayesian strategy for monitoring multiple outcomes in clinical trials
Author(s) -
Thall Peter F.,
Sung HsiGuang
Publication year - 1998
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19980730)17:14<1563::aid-sim873>3.0.co;2-l
Subject(s) - prior probability , bayesian probability , dirichlet distribution , computer science , clinical trial , equivalence (formal languages) , selection (genetic algorithm) , randomized controlled trial , construct (python library) , medical physics , machine learning , econometrics , artificial intelligence , mathematics , medicine , mathematical analysis , discrete mathematics , programming language , boundary value problem
We present some practical extensions and applications of a strategy proposed by Thall, Simon and Estey for designing and monitoring single‐arm clinical trials with multiple outcomes. We show by application how the strategy may be applied to construct designs for phase IIA activity trials and phase II equivalence trials. We also show how it may be extended to incorporate the use of mixture priors in settings where a Dirichlet distribution does not adequately quantify prior experience, randomized phase II selection trials involving two or more experimental treatments, and trials with group‐sequential monitoring for applications involving multiple institutions. © 1998 John Wiley & Sons, Ltd.