INVESTIGATION OF THE FACTORS AFFECTING LUNG CANCER WITH COX REGRESSION ANALYSIS: SIVAS CITY CASE
DOI:
https://doi.org/10.17740/eas.stat.2021‐V18‐03Keywords:
Survival Analysis, Cox Regression, Censored Data, Lung Cancer, Kaplan-Meier Method, Life TableAbstract
According to the data from World Cancer Research Fund (WCRF), the most common cancer type in the world was lung cancer in 2018. Worldwide, 2 million 93 thousand people have been diagnosed with lung cancer. Lung cancer, with the highest mortality rate, ranks first among the other cancer types. However, early diagnosis and knowing the factors affecting treatment generally increases the chance of successfully treating of the disease. In this study, the survival rates and factors affecting average survival times is determined by applying survival analysis to the data obtained from 570 lung cancer patients observed by the Oncology Center of Sivas Cumhuriyet University Medical Faculty Research and Application Hospital. The 1, 5 and 10-year survival rates are found as 55%, 9% and 2%, respectively. The factors affecting survival rate were determined as the patient's age, pathology and stage of the disease.