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 a ecting the life of a person with this disease.
Othman, A., Hasan, S. (2021). Application of the accelerated failure time model to lung cancer data. International Journal of Nonlinear Analysis and Applications, 12(1), 1243-1250. doi: 10.22075/ijnaa.2021.5003
MLA
Akam Ali Othman; Sabah Haseeb Hasan. "Application of the accelerated failure time model to lung cancer data". International Journal of Nonlinear Analysis and Applications, 12, 1, 2021, 1243-1250. doi: 10.22075/ijnaa.2021.5003
HARVARD
Othman, A., Hasan, S. (2021). 'Application of the accelerated failure time model to lung cancer data', International Journal of Nonlinear Analysis and Applications, 12(1), pp. 1243-1250. doi: 10.22075/ijnaa.2021.5003
VANCOUVER
Othman, A., Hasan, S. Application of the accelerated failure time model to lung cancer data. International Journal of Nonlinear Analysis and Applications, 2021; 12(1): 1243-1250. doi: 10.22075/ijnaa.2021.5003
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