Document Type : بحث
Authors
Abstract
The Cox regression model is one of the models that is frequently used in the analysis of survival data, used to determine the relationship between the explanatory variables available for the studied item and their survival time. The aim in this study is to analyze the survival time of patients with leukemia using the two statistical models (Cox regression model and competing risk model). The data used in this study is the Type I of censoring observational data that was taken from Nanakali Hospital-Erbil for (120) patients with leukemia during (four years) starting from (January 1, 2019) to (May 30, 2022). The Akaike Information Standard (AIC), the Corrected Akaike’s Information Criterion (AICc) and the Bayesian Information Standard (BIC) are used for each model to compare two models, which model fits the data. As a result, it shows that the competing risk model fits the cause and that the factor (type of cure) and the (Anemic Condition) factor are the most dangerous for leukemia.
Keywords
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