Algerian Journal of Biosciences
Volume 1, Numéro 2, Pages 76-82
2020-12-31

Integration Of Prior Information In Kaplan Meier Estimator Using Bayesian Approach



Authors : Pempie Pascal . Hamimes Ahmed . Benamirouche Rachid .

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.

Les articles similaires

Kaplan Meier's Bayesian Model Under An Informative Prior Distribution Case: Integration Study Of Unemployed Registered With The Local Employment Agency Of Ain El Benian (january 2011-july 2013)

Hamimes Ahmed .  Benamirouche Rachid . 
pages 77-92.

The Bayesian Design Of Kaplan Meier Estimation Using Gibbs Sampling: Application In Econometrics Of Duration Models

Hamimes Ahmed .  Benamirouche Rachid . 
pages 150-168.

The Bayesian Chi-square Statistic To Determinate Kaplan Meier Validity

Hamimes Ahmed .  Benamirouche Rachid . 
pages 187-196.

Le Modèle Bayésienne De Kaplan Meier Sous La Présence D’hétérogénéité Cas : étude D’insertion Des Chômeurs Inscrits à L'agence Locale De L’emploi D’ain El Benian (janvier 2011-juillet 2013)

Hamimes Ahmed .  Benamirouche Rachid . 
pages 158-171.

Choice Of The Prior In The Bayesian Design For The Clinical Trials.

Djeridi Zohra .  Merabet Hayet . 
pages 27-31.

Formats de citation