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

Jean-François Angers and Brenda MacGibbon

Chapter Chapter 3 in Statistical Modeling and Analysis for Complex Data Problems, 2005, pp 41-57 from Springer

Abstract: 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.

Keywords: Hazard Rate; Hazard Function; Bayesian Estimation; Hazard Rate Function; Bone Marrow Transplant Patient (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-24555-3_3

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DOI: 10.1007/0-387-24555-3_3

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