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A Bayesian adaptive design for two-stage clinical trials with survival data

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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.

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Authors and Affiliations

  1. Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700 019, India

    Uttam Bandyopadhyay

  2. Applied Statistics Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata, 700 108, India

    Atanu Biswas

  3. Department of Statistics, West Bengal State University, Barasat, Kolkata, 700 126, India

    Rahul Bhattacharya

Authors
  1. Uttam Bandyopadhyay
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  2. Atanu Biswas
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  3. Rahul Bhattacharya
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Correspondence to Atanu Biswas.

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Bandyopadhyay, U., Biswas, A. & Bhattacharya, R. A Bayesian adaptive design for two-stage clinical trials with survival data. Lifetime Data Anal 15, 468–492 (2009). https://doi.org/10.1007/s10985-009-9134-4

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  • DOI: https://doi.org/10.1007/s10985-009-9134-4

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