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Iraq | Mathematics | Volume 12 Issue 9, September 2023 | Pages: 245 - 250
Nonparametric Survival Function for Pneumo Carcinoma Patients
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
How to Cite?: Taha A. Taha, Sufyan Abdulraheem Mutar, "Nonparametric Survival Function for Pneumo Carcinoma Patients", Volume 12 Issue 9, September 2023, International Journal of Science and Research (IJSR), Pages: 245-250, https://www.ijsr.net/getabstract.php?paperid=SR23820180940, DOI: https://dx.doi.org/10.21275/SR23820180940