- Volume 4 Issue 2
For the survival data analysis of no covariate the discount survival model is proposed to estimate the time-varying hazard rate and the survival function recursively. In comparison with the covariate case it provide the distributionally explicit evolution of hazard rate between time intervals under the assumption of a conjugate gamma distribution. Also forecasting of the hazard rate in the next time interval is suggested, which leads to the forcecasted survival function.
- Bayesian Statistics(2nd edition) Normal Discount Bayesian Models Ameen, J.R.M.;Harrison, P.J.
- Journal of the American Statistical Association v.90 The Multiprocess Dynamic Poisson Model Bolstad, W. M.
- Applied Statistics v.40 Dynamic Bayesian Models for Survival Data Gamerman, D.
- Journal of the American Statistical Association v.53 Nonparametric Estimation from incomplete Observations Kaplan, E.L.;Meier, P.
- Controlled Clinical Trials v.2 Analysis of Survival with nonproportional hazard functions Stablein, D.M.;Carter, W.H.;Novak, J.W.
- Journal of the American Statistical Association v.80 Dynamic Generalized Linear Models and Bayesian Forecasting West, M.;Harrison, P.J.;Migon, H.S.