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The Continual Reassessment Method for Multiple Toxicity Grades: A Bayesian Quasi-Likelihood Approach

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  • Z. Yuan
  • R. Chappell
  • H. Bailey

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  • Z. Yuan & R. Chappell & H. Bailey, 2007. "The Continual Reassessment Method for Multiple Toxicity Grades: A Bayesian Quasi-Likelihood Approach," Biometrics, The International Biometric Society, vol. 63(1), pages 173-179, March.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:1:p:173-179
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00666.x
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    References listed on IDEAS

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    1. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    2. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    3. Bekele, B. Nebiyou & Thall, Peter F., 2004. "Dose-Finding Based on Multiple Toxicities in a Soft Tissue Sarcoma Trial," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 26-35, January.
    4. Cinzia Carota, 2002. "Semiparametric regression for count data," Biometrika, Biometrika Trust, vol. 89(2), pages 265-281, June.
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    Cited by:

    1. Nadine Houede & Peter F. Thall & Hoang Nguyen & Xavier Paoletti & Andrew Kramar, 2010. "Utility-Based Optimization of Combination Therapy Using Ordinal Toxicity and Efficacy in Phase I/II Trials," Biometrics, The International Biometric Society, vol. 66(2), pages 532-540, June.
    2. Anastasia Ivanova & Se Hee Kim, 2009. "Dose Finding for Continuous and Ordinal Outcomes with a Monotone Objective Function: A Unified Approach," Biometrics, The International Biometric Society, vol. 65(1), pages 307-315, March.
    3. Murray Thomas A., 2017. "Ranking ultimate teams using a Bayesian score-augmented win-loss model," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(2), pages 63-78, June.
    4. Haitao Pan & Cailin Zhu & Feng Zhang & Ying Yuan & Shemin Zhang & Wenhong Zhang & Chanjuan Li & Ling Wang & Jielai Xia, 2014. "The Continual Reassessment Method for Multiple Toxicity Grades: A Bayesian Model Selection Approach," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
    5. Alexia Iasonos & John O'Quigley, 2017. "Phase I designs that allow for uncertainty in the attribution of adverse events," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 1015-1030, November.
    6. Márcio A. Diniz & Sungjin Kim & Mourad Tighiouart, 2020. "A Bayesian Adaptive Design in Cancer Phase I Trials Using Dose Combinations with Ordinal Toxicity Grades," Stats, MDPI, vol. 3(3), pages 1-18, July.
    7. Ying Kuen Cheung, 2014. "Simple benchmark for complex dose finding studies," Biometrics, The International Biometric Society, vol. 70(2), pages 389-397, June.
    8. Guosheng Yin & Ying Yuan, 2009. "A Latent Contingency Table Approach to Dose Finding for Combinations of Two Agents," Biometrics, The International Biometric Society, vol. 65(3), pages 866-875, September.
    9. Xiaobin Yang & Keying Ye, 2012. "A Phase I Dose-_finding Study Based on Polychotomous Toxicity Responses Toxicity issue is always a main concern in phase I study and it is commonly categorized to multiple grades. In this study, the c," Working Papers 0004, College of Business, University of Texas at San Antonio.
    10. B. Nebiyou Bekele & Yisheng Li & Yuan Ji, 2010. "Risk-Group-Specific Dose Finding Based on an Average Toxicity Score," Biometrics, The International Biometric Society, vol. 66(2), pages 541-548, June.

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