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Bayesian Semiparametric Proportional Odds Models

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  • Timothy Hanson
  • Mingan Yang

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  • Timothy Hanson & Mingan Yang, 2007. "Bayesian Semiparametric Proportional Odds Models," Biometrics, The International Biometric Society, vol. 63(1), pages 88-95, March.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:1:p:88-95
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00671.x
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    References listed on IDEAS

    as
    1. Hanson, Timothy E., 2006. "Inference for Mixtures of Finite Polya Tree Models," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1548-1565, December.
    2. Zeng, Donglin & Lin, D.Y. & Yin, Guosheng, 2005. "Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 470-483, June.
    3. K. F. Lam & Y. W. Lee & T. L. Leung, 2002. "Modeling Multivariate Survival Data by a Semiparametric Random Effects Proportional Odds Model," Biometrics, The International Biometric Society, vol. 58(2), pages 316-323, June.
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    Citations

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    Cited by:

    1. Li, Li & Hanson, Timothy E., 2014. "A Bayesian semiparametric regression model for reliability data using effective age," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 177-188.
    2. Li Li & Ji-Hyun Lee, 2017. "A latent promotion time cure rate model using dependent tail-free mixtures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 891-905, June.
    3. Lianming Wang & David B. Dunson, 2011. "Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting," Biometrics, The International Biometric Society, vol. 67(3), pages 1111-1118, September.
    4. Jiajia Zhang & Timothy Hanson & Haiming Zhou, 2019. "Bayes factors for choosing among six common survival models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(2), pages 361-379, April.
    5. Piyali Basak & Antonio Linero & Debajyoti Sinha & Stuart Lipsitz, 2022. "Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART)," Biometrics, The International Biometric Society, vol. 78(3), pages 880-893, September.
    6. Wang, Lianming & Lin, Xiaoyan, 2011. "A Bayesian approach for analyzing case 2 interval-censored data under the semiparametric proportional odds model," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 876-883, July.
    7. Scelles, Nicolas (Сели, Николя) & Duran, Christophe (Дюра, Кристоф) & Bonnal, Liliane (Бонналь, Лилиан) & Goyeau, Daniel (Гойюс, Даниэль) & Andreff, Wladimir (Андрефф, Владимир), 2016. "Do all sporting prizes have a significant positive impact on attendance in a European national football league? Competitive intensity in the French Ligue 1 [Действительно Ли Все Спортивные Призы Ок," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 82-107, June.
    8. Debajyoti Sinha & Piyali Basak & Stuart R. Lipsitz, 2022. "Median regression models for clustered, interval-censored survival data - An application to prostate surgery study," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(4), pages 723-743, October.
    9. Yang, Mingan & Hanson, Timothy & Christensen, Ronald, 2008. "Nonparametric Bayesian estimation of a bivariate density with interval censored data," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5202-5214, August.

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