On Estimating the Survival Function for the Patients Suffer from the Lung Cancer Disease

Authors

  • Abbas N. Salman
  • Ibtehal H. Farhan
  • Maymona M. Ameen
  • Adel Abdulkadhim Hussein

DOI:

https://doi.org/10.30526/2017.IHSCICONF.1812

Keywords:

Survival Function, Lung Cancer Disease, Complete Real Data, Maximum Likelihood Method, Shrinkage Method, Mean Squares Error and Mean Absolute Percentage Error.

Abstract

          In this paper, the survival function has been estimated for the patients with lung cancer using different parametric estimation methods depending on sample for completing real data which explain the period of survival for patients who were ill with the lung cancer based on the diagnosis of disease or the entire of patients in a hospital for a time 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 estimation of the survival function for the lung cancer by using pre-test singles stage shrinkage estimator method was the best   . 

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Published

25-Apr-2018

Issue

Section

Mathematics

Publication Dates