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Bayesian Adaptive Biased-Coin Designs for Clinical Trials with Normal Responses

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  • Anthony C. Atkinson
  • Atanu Biswas

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  • 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.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:1:p:118-125
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2005.031002.x
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    References listed on IDEAS

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    1. Anthony C. Atkinson, 2002. "The comparison of designs for sequential clinical trials with covariate information," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 349-373, June.
    2. Anthony C. Atkinson, 2003. "Horwitz's rule, transforming both sides and the design of experiments for mechanistic models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(3), pages 261-278, July.
    3. 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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    Cited by:

    1. Alessandra Giovagnoli, 2021. "The Bayesian Design of Adaptive Clinical Trials," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    2. Atkinson, Anthony C. & Biswas, Atanu, 2017. "Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses," LSE Research Online Documents on Economics 66761, London School of Economics and Political Science, LSE Library.
    3. 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.
    4. Yi, Yanqing, 2013. "Exact statistical power for response adaptive designs," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 201-209.
    5. Hai Zhu & Hongjian Zhu, 2023. "Covariate‐adjusted response‐adaptive designs based on semiparametric approaches," Biometrics, The International Biometric Society, vol. 79(4), pages 2895-2906, December.
    6. Uttam Bandyopadhyay & Atanu Biswas & Shirsendu Mukherjee, 2009. "Adaptive two-treatment two-period crossover design for binary treatment responses incorporating carry-over effects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 13-33, March.
    7. Alessandro Baldi Antognini & Marco Novelli & Maroussa Zagoraiou, 2022. "A new inferential approach for response-adaptive clinical trials: the variance-stabilized bootstrap," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 235-254, March.
    8. Anna Paganoni & Piercesare Secchi, 2007. "A numerical study for comparing two response-adaptive designs for continuous treatment effects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(3), pages 321-346, November.
    9. Atkinson, Anthony C. & Biswas, Atanu, 2017. "Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 297-310.
    10. Yanqing Yi & Yuan Yuan, 2013. "An optimal allocation for response-adaptive designs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(9), pages 1996-2008, September.

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