title: Bayesian optimal response-adaptive design for binary responses using stopping rule.
abstract: Response-adaptive designs are used in phase III clinical trials to allocate a larger number of patients to the better treatment arm. Optimal designs are explored in the recent years in the context of response-adaptive designs, in the frequentist view point only. In the present paper, we propose some response-adaptive designs for two treatments based on Bayesian prediction for phase III clinical trials. Some properties are studied and numerically compared with some existing competitors. A real data set is used to illustrate the applicability of the proposed methodology where we redesign the experiment using parameters derived from the data set.
authors.affiliation: 1 Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.|2 RIKEN Brain Science Institute, Wakō, Japan.
authors.forename: Fumiyasu
authors.initials: F
authors.lastname: Komaki
authors.affiliation: 3 Applied Statistics Unit, Indian Statistical Institute, Kolkata, India.
authors.forename: Atanu
authors.initials: A
authors.lastname: Biswas
mesh_terms: D019380:Anti-HIV Agents / Q000627:therapeutic use; D001499:Bayes Theorem; D056808:Biostatistics / Q000379:methods; D000078985:Clinical Trial Protocols as Topic; D017326:Clinical Trials, Phase III as Topic / Q000706:statistics & numerical data*; D003198:Computer Simulation; D057239:Early Termination of Clinical Trials / Q000706:statistics & numerical data*; D005260:Female; D015658:HIV Infections / Q000150:complications / Q000517:prevention & control / Q000635:transmission; D006801:Humans; D007231:Infant, Newborn; D018445:Infectious Disease Transmission, Vertical / Q000517:prevention & control; D011247:Pregnancy; D011251:Pregnancy Complications, Infectious / Q000188:drug therapy; D015215:Zidovudine / Q000627:therapeutic use
chemical_list: D019380:Anti-HIV Agents; D015215:Zidovudine
keywords: Bayesian design; ethics; non-informative prior; proportion of allocation; sample size; sequential design