Comparing two survival function in the case of heavily censored data
Joint Authors
Bin Amirush, Rashid
Hamimes, Ahmad
Source
Journal of Contemporary Economic Studies
Issue
Vol. 5, Issue 2 (31 Dec. 2020), pp.133-146, 14 p.
Publisher
Publication Date
2020-12-31
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Abstract EN
To test for equality between heavily censored survival functions.
The comparison between the average risk values is used.
This value calculated in the Kaplan Meier model, according to a Bayesian design, and through the posterior mean approach.
.
This method gives credibility to the results found because the calculation of the risk mean is not identical for all durations because of incomplete data or censored data
Abstract FRE
Pour tester l’égalité entre les fonctions de survie fortement censurées.
On utilise la comparaison entre les valeurs moyennes des risques.
Cette valeur calculée dans le modèle de Kaplan Meier et selon une conception bayésien et à travers l’approche de la moyenne a posteriori.
Cette méthode donne une crédibilité aux résultats trouvés car le calcul de la moyenne de risque n’est pas identique pour toutes les durées à cause des données incomplètes ou bien les données censurées.
American Psychological Association (APA)
Hamimes, Ahmad& Bin Amirush, Rashid. 2020. Comparing two survival function in the case of heavily censored data. Journal of Contemporary Economic Studies،Vol. 5, no. 2, pp.133-146.
https://search.emarefa.net/detail/BIM-1062823
Modern Language Association (MLA)
Hamimes, Ahmad& Bin Amirush, Rashid. Comparing two survival function in the case of heavily censored data. Journal of Contemporary Economic Studies Vol. 5, no. 2 (2020), pp.133-146.
https://search.emarefa.net/detail/BIM-1062823
American Medical Association (AMA)
Hamimes, Ahmad& Bin Amirush, Rashid. Comparing two survival function in the case of heavily censored data. Journal of Contemporary Economic Studies. 2020. Vol. 5, no. 2, pp.133-146.
https://search.emarefa.net/detail/BIM-1062823
Data Type
Journal Articles
Language
English
Notes
Includes Appendices : p. 143-146
Record ID
BIM-1062823
