title: Bayesian adaptive biased-coin designs for clinical trials with normal responses.
abstract: 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.
authors.affiliation: Department of Statistics, London School of Economics, London WC2A 2AE, UK. A.C.Atkinson@lse.ac.uk
authors.forename: Anthony C
authors.initials: AC
authors.lastname: Atkinson
authors.forename: Atanu
authors.initials: A
authors.lastname: Biswas
mesh_terms: D001499:Bayes Theorem; D001699:Biometry; D002985:Clinical Protocols; D002986:Clinical Trials as Topic / Q000379:methods; D017326:Clinical Trials, Phase III as Topic / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D018579:Patient Selection; D011897:Random Allocation; D012107:Research Design