Use the logistic regression model to find the most important factors affecting lung cancer in Iraq in 2017

Authors

  • أ.م.د. وضاح صبري ابراهيم
  • هاجر فلاح طاهر

Keywords:

logistic regression, the greatest possible method, square kay, Hosmer test.

Abstract

Cancer is a disease of the body and invade the neighboring cells and tissues and the
formation of malignant tumor, and spread this tumor uncontrollably, that the study of the
use of a logistic model (logistic) of the response variable of the type of dual-response, and
thus get the most important factors affecting the incidence of lung disease and tumors Lung
Cancer.
The research data included cancer tumors taken from the Ministry of Health Cancer Center
Statistics Division for 2017, the results of a logistic regression model showed that the
independent moral data entered in the statistical analysis that had a significant impact on
the patient's survival in hospital as five variables: - (Occupation) of unknown ({province,
Baghdad, Babylon, Wasit, Najaf, Basra, Maysan, El Anbar, Saladin {, and spread, extent
of spread, chemotherapy).

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Published

2022-03-30

How to Cite

Use the logistic regression model to find the most important factors affecting lung cancer in Iraq in 2017. (2022). Journal of Administration and Economics, 1(121), 365-376. https://admics.uomustansiriyah.edu.iq/index.php/admeco/article/view/309

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