Title of article :
Estimate Complete the Survival Function for Real Data of Lung Cancer Patients
Author/Authors :
salman, abbas n. university of baghdad - college of education for pure science (ibn al-haitham) - department of mathematics, Iraq , farhan, ibtehal h. university of baghdad - college of education for pure science ( ibn alhaitham) - department of mathematics, Iraq
Abstract :
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 .
Keywords :
Mean Squares Error , and Nelson-Aalen Estimator , Thompson– type estimator , Borkowf –type estimator , Empirical Estimator , Complete Real Data , Lung Cancer Disease , Nonparametric Estimation
Journal title :
Ibn Alhaitham Journal For Pure and Applied Science
Journal title :
Ibn Alhaitham Journal For Pure and Applied Science
