title: A Bayesian adaptive design for two-stage clinical trials with survival data.
abstract: A randomized two-stage adaptive Bayesian design is proposed and studied for allocation and comparison in a phase III clinical trial with survival time as treatment response. Several exact and limiting properties of the design and the follow-up inference are studied, both numerically and theoretically, and are compared with a single-stage randomized procedure. The applicability of the proposed methodology is illustrated by using some real data.
authors.affiliation: Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019, India. ubstat@caluniv.ac.in
authors.forename: Uttam
authors.initials: U
authors.lastname: Bandyopadhyay
authors.forename: Atanu
authors.initials: A
authors.lastname: Biswas
authors.forename: Rahul
authors.initials: R
authors.lastname: Bhattacharya
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002986:Clinical Trials as Topic / Q000941:ethics / Q000706:statistics & numerical data; D006801:Humans; D012107:Research Design; D016019:Survival Analysis