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Optimality, Variability, Power: Evaluating Response-Adaptive Randomization Procedures for Treatment Comparisons

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  • Hu, Feifang
  • Rosenberger, William F.

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  • Hu, Feifang & Rosenberger, William F., 2003. "Optimality, Variability, Power: Evaluating Response-Adaptive Randomization Procedures for Treatment Comparisons," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 671-678, January.
    • Handle: RePEc:bes:jnlasa:v:98:y:2003:p:671-678
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    Citations

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    Cited by:

    1. Lanju Zhang & William F. Rosenberger, 2006. "Response-Adaptive Randomization for Clinical Trials with Continuous Outcomes," Biometrics, The International Biometric Society, vol. 62(2), pages 562-569, June.
    2. Xu, Wenfu & Gao, Jingya & Hu, Feifang & Cheung, Siu Hung, 2018. "Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 168-179.
    3. Yi, Yanqing, 2013. "Exact statistical power for response adaptive designs," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 201-209.
    4. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
    5. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Sep 2023.
    6. 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.
    7. Chambaz Antoine & van der Laan Mark J., 2011. "Targeting the Optimal Design in Randomized Clinical Trials with Binary Outcomes and No Covariate: Theoretical Study," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-32, January.
    8. Jennifer Proper & Thomas A. Murray, 2023. "An alternative metric for evaluating the potential patient benefit of response‐adaptive randomization procedures," Biometrics, The International Biometric Society, vol. 79(2), pages 1433-1445, June.
    9. Xuemin Gu & Nan Chen & Caimiao Wei & Suyu Liu & Vassiliki A. Papadimitrakopoulou & Roy S. Herbst & J. Jack Lee, 2016. "Bayesian Two-Stage Biomarker-Based Adaptive Design for Targeted Therapy Development," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(1), pages 99-128, June.
    10. Alessandro Baldi Antognini & Alessandra Giovagnoli, 2006. "On the asymptotic inference for response-adaptive experiments," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 29-45.
    11. 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.
    12. Yi, Yanqing & Wang, Xikui, 2023. "A Markov decision process for response adaptive designs," Econometrics and Statistics, Elsevier, vol. 25(C), pages 125-133.
    13. Uttam Bandyopadhyay & Atanu Biswas & Rahul Bhattacharya, 2009. "Drop-the-loser design in the presence of covariates," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 69(1), pages 1-15, January.
    14. 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.
    15. Li-Xin, Zhang, 2006. "Asymptotic results on a class of adaptive multi-treatment designs," Journal of Multivariate Analysis, Elsevier, vol. 97(3), pages 586-605, March.
    16. Arkaitz Galbete & José A. Moler & Fernando Plo, 2014. "A Response-Driven Adaptive Design Based on the Klein Urn," Methodology and Computing in Applied Probability, Springer, vol. 16(3), pages 731-746, September.

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