Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using Fourier Series Methods


BibTeX reference

This paper discusses a Bayesian functional estimation method, based on Fourier series, for the estimation of the hazard rate from randomly right-censored data. A nonparametric approach, assuming that the hazard rate has no specific and prespecified parametric form, is used. A simulation study is also done to compare the proposed methodology with the estimators introduced in Antoniadis et al. (1999). The method is illustrated with a real data set consisting of survival data from bone marrow transplant patients.

, 18 pages


Bayesian functional estimation of the hazard rate for randomly right censored data using Fourier series methods
Eds Duchesne, P and Remillard, B, Statistical Modeling and Analysis for Complex Data Problems, 53–69, 2004 BibTeX reference