Application of the accelerated failure time model to lung cancer data | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 98، دوره 12، شماره 1، مرداد 2021، صفحه 1243-1250 اصل مقاله (307.92 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5003 | ||
| نویسندگان | ||
| Akam Ali Othman؛ Sabah Haseeb Hasan* | ||
| College of Administration and EconomicsnUniversity of Kirkuk | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Accelerated failure time model؛ life time؛ survival data؛ selection criteria؛ lung cancer | ||
| مراجع | ||
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