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

Author

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  • Ahmed HAMIMES

    (University of Constantine 3 (Algeria))

  • Rachid BENAMIROUCHE

    (National School of Statistics and Applied Economics (Algeria))

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.

Suggested Citation

  • Ahmed HAMIMES & Rachid BENAMIROUCHE, 2020. "The Posterior Mean Approach To Determine The Mean Value Of Risk In The Case Of Heavily And Weakly Censored Data," International Journal of Economic Performance (IJEP), ALPEC The performance of Algerian economic institutions in light of international economic mobility , Boumerdes University, vol. 3(02), pages 129-142, December.
    • Handle: RePEc:bjm:ijep00:v:3:y:2020:i:02:id:203
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