Journal of Advanced Statistics
Proportional Hazard Regression Model with Bayesian Approach
Download PDF (658.1 KB) PP. 38 - 51 Pub. Date: March 1, 2016
Author(s)
- Rashmi Aggarwal
Department of Statistics, Panjab University, Chandigarh, India - Suresh Kumar Sharma*
Department of Statistics, Panjab University, Chandigarh, India - Kanchan Jain
Department of Statistics, Panjab University, Chandigarh, India
Abstract
Keywords
References
[1] J. D. Kalbfleisch and R. L. Prentice, The Statistical Analysis of Failure Time Data. John Wiley & Sons, New York, 1980.
[2] J. G. Ibrahim, M. H. Chen, and D. Sinha, Bayesian Survival Analysis. Springer-Verlag, New York, 2001.
[3] A. Gelman, J. Carlin, H. Stern, and D. Rubin, Bayesian Data Analysis, Second Addition. Chapman & Hall, London, 2004.
[4] W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, Markov Chain Monte Carlo in Practice. Chapman & Hall, London, 1996.
[5] D. R. Cox, “Regression models and life tables,” Journal of the Royal Statistical Society, Series B, vol. 20, pp. 187–220, 1972.
[6] D. R. Cox, “Partial likelihood,” Biometrika, vol. 62, pp. 269–276, 1975.
[7] N. E. Breslow, “Discussion of professor cox’s paper,” Journal of Royal Statistical Society B, vol. 34, pp. 216–217, 1972.
[8] M. H. DeGroot and M. J. Schervish, Probability and Statistics, 3rd Edition. Addison-Wesley, MA, Boston, 2002.
[9] S. J. Press, Subjective and Objective Bayesian Statistics. John Wiley & Sons, New York, 2003.
[10] J. O. Berger, “The case for objective bayesian analysis,” Bayesian Analysis, vol. 3, pp. 385–402, 2006.
[11] M. Goldstein, “Subjective bayesian analysis: Principles and practice,” Bayesian Analysis, vol. 3, pp. 403–420, 2006.
[12] J. Geweke, Evaluating the Accuracy of Sampling-Based Approaches to Calculating Posterior Moments. Oxford University Press, Oxford, 1992.