Nonparametric Bayesian Estimation of Survival Curves from Incomplete Observations

1 December 1976

journal article
research article
Published by JSTOR in Journal of the American Statistical Association

Vol. 71 (356) , 897
https://doi.org/10.2307/2286858

Abstract

This article presents a nonparametric Bayesian estimator of a survival curve based on incomplete or arbitrarily right-censored data. This estimator, a Bayes estimator under a squared-error loss function assuming a Dirichlet process prior, is shown to be a Bayesian extension of the usual product limit (Kaplan-Meier) nonparametric estimator.

Keywords

INCOMPLETE OBSERVATIONS
SURVIVAL CURVES
BAYESIAN ESTIMATION
NONPARAMETRIC BAYESIAN
CURVES FROM INCOMPLETE

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