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Fixed-width confidence interval for covariate-adjusted response-adaptive designs

Author

Listed:
  • Uttam Bandyopadhyay

    (University of Calcutta)

  • Atanu Biswas

    (Indian Statistical Institute)

Abstract

In this paper, we obtain fixed-width confidence interval for covariate-adjusted response-adaptive designs. Specifically, we consider logistic regression model and the normal regression model for binary and continuous responses, respectively, both in the situations for presence and absence of treatment–covariate interactions. Simulation study and real-data analysis are carried out.

Suggested Citation

  • Uttam Bandyopadhyay & Atanu Biswas, 2018. "Fixed-width confidence interval for covariate-adjusted response-adaptive designs," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(2), pages 353-371, April.
    • Handle: RePEc:spr:aistmt:v:70:y:2018:i:2:d:10.1007_s10463-016-0596-3
    DOI: 10.1007/s10463-016-0596-3
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    References listed on IDEAS

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    1. Anthony C. Atkinson & Atanu Biswas, 2005. "Bayesian Adaptive Biased-Coin Designs for Clinical Trials with Normal Responses," Biometrics, The International Biometric Society, vol. 61(1), pages 118-125, March.
    2. William F. Rosenberger & Nigel Stallard & Anastasia Ivanova & Cherice N. Harper & Michelle L. Ricks, 2001. "Optimal Adaptive Designs for Binary Response Trials," Biometrics, The International Biometric Society, vol. 57(3), pages 909-913, September.
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