مقارنة بين نموذج وقت الفشل المعجل ونموذج بقاء كابلان-مير ونماذج التناسبي

Survival analysis is a branch of statistics, which is focused on the analysis of time-toevent
data. A primary focus of Survival analysis in medicine is modeling time to surviving a particular disease. In this paper, survival analysis was carried out on Chronic Granulomatous Disease (CGD) data modeling time to surviving the disease. The Kaplan-Meier approach was used to describe the survival functions of (CGD)
patients and Log-rank tests were used to compare the survival curves among groups.
Different kinds of models such as Cox Proportional Hazard Model and Accelerated
Failure Time (AFT) models like the Weibull AFT model to be used for modeling the time to surviving from (CGD). Models selection criteria were used as a guide to unravel the best model for modeling (CGD).