Application of the accelerated failure time model to lung cancer data

Accelerated failure time model sometimes symbolized as AFT model, is an important  regression model in survival analysis. In this article, we applied AFT model to the data of lung cancer patient in order to identify the must important factors affecting the patient's survival time. The results showed a well performance for this model, as based on some statistical criteria, the factors  that are consistent with the opinion of specialists in in uencing survival time were identified, as the  factors (smoking, treatment, proliferation, location of residence) of the main factors aecting the life of a person with this disease.

Keywords:

Accelerated failure time model , life time , survival data , selection criteria , lung cancer