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Analysis Study Research Paper | Mathematics | Iraq | Volume 12 Issue 9, September 2023
Nonparametric Survival Function for Pneumo Carcinoma Patients
Taha A. Taha | Sufyan Abdulraheem Mutar
Abstract: In this paper, we use a variety of nonparametric estimation techniques, based on a sample from complete real data, to estimate the survival function of lung cancer patients. This function describes the time a patient with lung cancer is expected to live after receiving a diagnosis of the disease or entering a hospital. The mean squared error was used to compare the aforementioned estimation techniques, and it was found that the shrinkage approach produced the best survival function for lung cancer.
Keywords: Non-parametric Estimation, Lung Carcinoid tumors Disease, Actual Data, Em-Estimator
Edition: Volume 12 Issue 9, September 2023,
Pages: 245 - 250