The posterior mean approach to determine the mean value of risk in the case of heavily and weakly censored data
Source
International Journal of Economic Performance
Issue
Vol. 3, Issue 2 (31 Dec. 2020), pp.129-142, 14 p.
Publisher
Publication Date
2020-12-31
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Topics
Abstract EN
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.
American Psychological Association (APA)
Hamimes, Ahmad& Benamirouche, Rachid. 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،Vol. 3, no. 2, pp.129-142.
https://search.emarefa.net/detail/BIM-1248605
Modern Language Association (MLA)
Hamimes, Ahmad& Benamirouche, Rachid. 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 Vol. 3, no. 2 (2020), pp.129-142.
https://search.emarefa.net/detail/BIM-1248605
American Medical Association (AMA)
Hamimes, Ahmad& Benamirouche, Rachid. 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. 2020. Vol. 3, no. 2, pp.129-142.
https://search.emarefa.net/detail/BIM-1248605
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1248605
