Binary Logistic Regression to Identify the Risk Factors of Eye Glaucoma

Authors

  • Nidal Mohamed Mustafa Abd Elsalam Tabuk University

Keywords:

Binary, Logistic regression, Maximum Likelihood, Discriminant Function.

Abstract

A binary logistic regression is performed to predict the presence or absence of Eye Glaucoma and to identify the risk factors of the disease. Five predictor variables are included in the model, which are:

Author Biography

Nidal Mohamed Mustafa Abd Elsalam, Tabuk University

Department of statistics, Assistant professor, faculty of Science, University of Tabuk

References

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Published

2015-06-24

How to Cite

Abd Elsalam, N. M. M. (2015). Binary Logistic Regression to Identify the Risk Factors of Eye Glaucoma. International Journal of Sciences: Basic and Applied Research (IJSBAR), 23(1), 366–376. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/4187

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