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Bayesian Estimators for Conditional Hazard Functions

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  • Ian W. McKeague
  • Mourad Tighiouart

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  • Ian W. McKeague & Mourad Tighiouart, 2000. "Bayesian Estimators for Conditional Hazard Functions," Biometrics, The International Biometric Society, vol. 56(4), pages 1007-1015, December.
  • Handle: RePEc:bla:biomet:v:56:y:2000:i:4:p:1007-1015
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2000.01007.x
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    References listed on IDEAS

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    1. J. A. Anderson & A. Senthilselvan, 1982. "A Two‐Step Regression Model for Hazard Functions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(1), pages 44-51, March.
    2. Sheila M. Gore & Stuart J. Pocock & Gillian R. Kerr, 1984. "Regression Models and Non‐Proportional Hazards in the Analysis of Breast Cancer Survival," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 33(2), pages 176-195, June.
    3. Murphy, S. A. & Sen, P. K., 1991. "Time-dependent coefficients in a Cox-type regression model," Stochastic Processes and their Applications, Elsevier, vol. 39(1), pages 153-180, October.
    4. Dani Gamerman, 1991. "Dynamic Bayesian Models for Survival Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(1), pages 63-79, March.
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    Cited by:

    1. Gillen, Daniel L., 2009. "A random walk approach for quantifying uncertainty in group sequential survival trials," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 609-620, January.
    2. David B. Dunson & Patricia Chulada & Samuel J. Arbes Jr, 2003. "Bayesian Modeling of Time-Varying and Waning Exposure Effects," Biometrics, The International Biometric Society, vol. 59(1), pages 83-91, March.
    3. Yeonhee Park & Suyu Liu & Peter F. Thall & Ying Yuan, 2022. "Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers," Biometrics, The International Biometric Society, vol. 78(1), pages 60-71, March.
    4. Mário Castro & Yolanda M. Gómez, 2020. "A Bayesian Cure Rate Model Based on the Power Piecewise Exponential Distribution," Methodology and Computing in Applied Probability, Springer, vol. 22(2), pages 677-692, June.

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