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A covariate‐adjusted adaptive design for two‐stage clinical trials with survival data

Author

Listed:
  • Uttam Bandyopadhyay
  • Atanu Biswas
  • Rahul Bhattacharya

Abstract

A randomized two‐stage adaptive design is proposed and studied for allocation of patients to treatments and comparison in a phase III clinical trial with survival time as treatment responses. We consider the possibility of several covariates in the design and analysis. Several exact and limiting properties of the design and the follow‐up inference are studied, both numerically and theoretically. The applicability of the proposed methodology is illustrated by using some real data.

Suggested Citation

  • Uttam Bandyopadhyay & Atanu Biswas & Rahul Bhattacharya, 2010. "A covariate‐adjusted adaptive design for two‐stage clinical trials with survival data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(2), pages 202-226, May.
    • Handle: RePEc:bla:stanee:v:64:y:2010:i:2:p:202-226
    DOI: 10.1111/j.1467-9574.2010.00451.x
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    References listed on IDEAS

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    Cited by:

    1. Bandyopadhyay, Uttam & Biswas, Atanu, 2016. "Fixed-width confidence interval for two-stage response-adaptive designs in ridit analysis," Statistics & Probability Letters, Elsevier, vol. 108(C), pages 45-51.

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