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Bayesian Adaptive Biased‐Coin Designs for Clinical Trials with Normal Responses
Author(s) -
Atkinson Anthony C.,
Biswas Atanu
Publication year - 2005
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2005.031002.x
Subject(s) - bayesian probability , adaptive design , computer science , bayesian inference , sequential analysis , mathematical optimization , statistics , clinical trial , mathematics , artificial intelligence , medicine , pathology
Summary Adaptive designs are used in phase III clinical trials for skewing the allocation pattern toward the better treatments. We use optimum design theory to derive a skewed Bayesian biased‐coin procedure for sequential designs with continuous responses. The skewed designs are used to provide adaptive designs, the performance of which is studied numerically and theoretically. Important properties are loss and the proportion of allocation to the better treatment.