Integration of prior information in Kaplan Meier estimator using Bayesian approach
Hamimes Ahmed* and Benamirouche Rachid
http://dx.doi.org/10.5281/zenodo.4398965
Alger. j. biosciences, vol.01, n02, p.76-82, 2020
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Abstract
As part of this contribution, we will illustrate the effectiveness of the Bayesian approach in estimating durations; we suggest a new definition of the Kaplan Meier Bayesian estimator based on a stochastic approximation under an informative prior. For this reason, based on the lognormal distribution, we have unconjugated a priori distributions. This method of processing makes it possible to assume that the use of the a priori data with the various suggested methods is sensitive to the choices of the parameters added.
Keywords
Bayesian approach;
nonparametric survival;
Kaplan Meier;
Bayesian estimator
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Submitted date:
11/30/2020
Reviewed date:
12/25/2020
Accepted date:
12/28/2020
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