استخدام نموذج انحدار كوكس في تحديد العوامل المؤثرة على وقت البقاء لمرضي سرطان الرئة

الملخص EN

The research aims to study the most important factors affecting the survival time for lung cancer patients using the cox regression method, by applying it to a sample of 150 lung cancer patients, including several factors that are expected to have an impact on the survival time.

using the Cox regression model, there were a set of factors affecting the survival time, and the relative importance of the independent variables was arranged and determined according to their effect on the binary dependent variable, based on Wald’s statistics using the cox regression model, and the most influential variable in the incidence of lung cancer and the patient’s survival time is the smoking variable X1 with a contribution rate of 31.78%, followed by the variable X7 methods of treatment with a contribution rate of 10.95%, followed by the genetic disease history variable of the family X2 with a rate of 9.76%, then the occupation variable X3 with a rate of 3.84%, followed by the disease degree variable X13 with a rate of 3.185%, the age variable X5 with a rate of 0.1688%, and finally the X10 infection with corona 0.072%.