The Posterior Mean Approach To Determine The Mean Value Of Risk In The Case Of Heavily And Weakly Censored Data

Ahmed Hamimes and Rachid Benamirouche
Additional contact information
Ahmed Hamimes: University of Constantine 3 (Algeria)
Rachid Benamirouche: National School of Statistics and Applied Economics (Algeria)

IJEP, 2020, vol. 3, issue 02, 129-142

Abstract: In this paper, Kaplan Meier's model is used in the survival analysis and according to a Bayesian conception of the context to calculate the mean value of the risk in the case of data of durations strongly and weakly censored through the approach of the posterior mean. This method makes it possible to probabilize the mean value of the risk of chance and to make comparisons in the same way. Dans cette article, on utilise le modèle de Kaplan Meier dans l’analyse de survie et selon un conception bayésien de le contexte de calculer la valeur moyenne du risque dans le cas de données de durées fortement et faiblement censurées à travers l’approche de la moyenne a posteriori (The posterior mean approach). Cette méthode permet de probabilisée la valeur moyenne du risque de hasard et de faire des comparaisons de la même façon.

Keywords: the posterior mean approach; Kaplan Meier model; survival analysis; strongly and weakly censored data; l’approche de la moyenne a posterior; le modèle de Kaplan Meier; modèles de durées; données fortement et faiblement censurées (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijep.dz/index.php/IJEP/article/view/203 Abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjm:ijep00:v:3:y:2020:i:02:id:203

Access Statistics for this article

More articles in IJEP from ALPEC The performance of Algerian economic institutions in light of international economic mobility , Boumerdes University
Bibliographic data for series maintained by BOUZID Ahmed ().