Bayesian functional estimation of hazard rates for randomly right censored data using Fourier series methods

Abstract

This paper discusses a Bayesian functional estimation method, based on Fourier series, for the estimation of the hazard rate fronm 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. © 2005 Springer Science+Business Media, Inc.