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Sequential Ordinal Modeling with Applications to Survival Data

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  • James H. Albert
  • Siddhartha Chib

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  • James H. Albert & Siddhartha Chib, 2001. "Sequential Ordinal Modeling with Applications to Survival Data," Biometrics, The International Biometric Society, vol. 57(3), pages 829-836, September.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:3:p:829-836
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00829.x
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    References listed on IDEAS

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    1. Thomas R. Ten Have & David H. Uttal, 1994. "Subject‐Specific and Population‐Averaged Continuation Ratio Logit Models for Multiple Discrete Time Survival Profiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(2), pages 371-384, June.
    2. Tutz, Gerhard, 1991. "Sequential models in categorical regression," Computational Statistics & Data Analysis, Elsevier, vol. 11(3), pages 275-295, May.
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    Cited by:

    1. D. B. Dunson & C. Holloman & C. Calder & L. H. Gunn, 2004. "Bayesian Modeling of Multiple Lesion Onset and Growth from Interval-Censored Data," Biometrics, The International Biometric Society, vol. 60(3), pages 676-683, September.
    2. Wang, Jianqiang C. & Holan, Scott H., 2012. "Bayesian multi-regime smooth transition regression with ordered categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4165-4179.
    3. Gebrenegus Ghilagaber & Paraskevi Peristera, 2014. "Sequential probit modelling of family and community effects on educational progress among children to Polish and Turkish immigrants in Sweden," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3243-3252, November.
    4. David B. Dunson & Zhen Chen & Jean Harry, 2003. "A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes," Biometrics, The International Biometric Society, vol. 59(3), pages 521-530, September.
    5. Jan Gertheiss & Gerhard Tutz, 2009. "Penalized Regression with Ordinal Predictors," International Statistical Review, International Statistical Institute, vol. 77(3), pages 345-365, December.
    6. B. Nebiyou Bekele & Yu Shen, 2005. "A Bayesian Approach to Jointly Modeling Toxicity and Biomarker Expression in a Phase I/II Dose-Finding Trial," Biometrics, The International Biometric Society, vol. 61(2), pages 343-354, June.
    7. Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian multiple imputation for regression models with missing mixed continuous–discrete covariates," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(3), pages 803-825, June.
    8. Chib, Siddhartha & Greenberg, Edward, 2010. "Additive cubic spline regression with Dirichlet process mixture errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 322-336, June.
    9. Satkartar K. Kinney & David B. Dunson, 2007. "Fixed and Random Effects Selection in Linear and Logistic Models," Biometrics, The International Biometric Society, vol. 63(3), pages 690-698, September.
    10. Alhamzawi, Rahim, 2016. "Bayesian model selection in ordinal quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 68-78.
    11. Xiong, Yingge & Tobias, Justin L. & Mannering, Fred L., 2014. "The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 109-128.
    12. Munkin, Murat K., 2011. "The Endogenous Sequential Probit model: An application to the demand for hospital utilization," Economics Letters, Elsevier, vol. 112(2), pages 182-185, August.
    13. Lei Shi, 2020. "Bayesian analysis of multivariate ordered probit model with individual heterogeneity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(4), pages 649-665, December.
    14. Patrick Waelbroeck, 2005. "Computational Issues in the Sequential Probit Model: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 141-161, October.
    15. Mamatzakis, Emmanuel C. & Tsionas, Mike G., 2021. "Making inference of British household's happiness efficiency: A Bayesian latent model," European Journal of Operational Research, Elsevier, vol. 294(1), pages 312-326.
    16. Shimeles Abebe & Andinet Woldemichael, 2015. "Working Paper 225 - Measuring the Impact of Micro-Health Insurance on Healthcare Utilization: A Bayesian Potential Outcomes Approach," Working Paper Series 2166, African Development Bank.
    17. Leonhard Knorr-Held & Günter Raßer & Nikolaus Becker, 2002. "Disease Mapping of Stage-Specific Cancer Incidence Data," Biometrics, The International Biometric Society, vol. 58(3), pages 492-501, September.
    18. L.G. Leon-Novelo & X. Zhou & B. Nebiyou Bekele & P. Müller, 2010. "Assessing Toxicities in a Clinical Trial: Bayesian Inference for Ordinal Data Nested within Categories," Biometrics, The International Biometric Society, vol. 66(3), pages 966-974, September.
    19. Li, Phillip, 2011. "Estimation of sample selection models with two selection mechanisms," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1099-1108, February.
    20. Andrew S. Fullerton, 2009. "A Conceptual Framework for Ordered Logistic Regression Models," Sociological Methods & Research, , vol. 38(2), pages 306-347, November.
    21. Debdeep Pati & David Dunson, 2014. "Bayesian nonparametric regression with varying residual density," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(1), pages 1-31, February.
    22. Gerhard Tutz, 2003. "Generalized Semiparametrically Structured Ordinal Models," Biometrics, The International Biometric Society, vol. 59(2), pages 263-273, June.

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