Estimate Complete the Survival Function for Real Data of Lung Cancer Patients

Autor:	Abbas N. Salman, Ibtehal H. Farhan
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Nonparametric Estimation Lung Cancer Disease Complete Real Data Empirical Estimator Borkowf –type estimator Thompson– type estimator and Nelson-Aalen Estimator Mean Squares Error Science
Zdroj:	Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 27, Iss 3 (2017)
Druh dokumentu:	article
ISSN:	1609-4042 2521-3407
Popis:	In this paper, we estimate the survival function for the patients of lung cancer using different nonparametric estimation methods depending on sample from complete real data which describe the duration of survivor for patients who suffer from the lung cancer based on diagnosis of disease or the enter of patients in a hospital for period of two years (starting with 2012 to the end of 2013). Comparisons between the mentioned estimation methods has been performed using statistical indicator mean squares error, concluding that the survival function for the lung cancer by using shrinkage method is the best
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/8c39aa68608e4d6e9dce15b7a9bce3cd Zobrazit plný text záznamu View record in DOAJ