A Comparative Study between Logistic Regression and Neural Networks for Examining Factors Influencing Child Mortality in Libya.
Khater, E., Abdel Nabi, S., Abdel Kader, M., Omer Eldofani, S. (2020). A Comparative Study between Logistic Regression and Neural Networks for Examining Factors Influencing Child Mortality in Libya.. EKB Journal Management System, 64(2), 1-26. doi: 10.21608/esju.2020.189427
El-Sayed Khater; Sayada Abdel Nabi; Mohamed Abdel Kader; Samira Omer Eldofani. "A Comparative Study between Logistic Regression and Neural Networks for Examining Factors Influencing Child Mortality in Libya.". EKB Journal Management System, 64, 2, 2020, 1-26. doi: 10.21608/esju.2020.189427
Khater, E., Abdel Nabi, S., Abdel Kader, M., Omer Eldofani, S. (2020). 'A Comparative Study between Logistic Regression and Neural Networks for Examining Factors Influencing Child Mortality in Libya.', EKB Journal Management System, 64(2), pp. 1-26. doi: 10.21608/esju.2020.189427
Khater, E., Abdel Nabi, S., Abdel Kader, M., Omer Eldofani, S. A Comparative Study between Logistic Regression and Neural Networks for Examining Factors Influencing Child Mortality in Libya.. EKB Journal Management System, 2020; 64(2): 1-26. doi: 10.21608/esju.2020.189427

A Comparative Study between Logistic Regression and Neural Networks for Examining Factors Influencing Child Mortality in Libya.

The Egyptian Statistical Journal
Article 1, Volume 64, Issue 2, December 2020, Page 1-26  XML PDF (713.1 K)
Document Type: Original Article
DOI: 10.21608/esju.2020.189427
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Authors
El-Sayed Khater1; Sayada Abdel Nabi2; Mohamed Abdel Kader3; Samira Omer Eldofani4
1Department of Biostatistics and Demography, Faculty of Graduate studies for Statistical Research, Cairo University, Egypt
2Faculty of Commerce, Al-Azhar University – (Girls' Branch), Egypt
3Faculty of Commerce, Al-Azhar University – (Boys' Branch), Egypt
4PhD student, Libya
Abstract
Child mortality remains one of the most critical issues under investigation. This study focuses on describing the phenomenon of child mortality in Libya and examining the factors influencing it. Since child mortality is a variable that follows a Bernoulli process, logistic regression is utilized to estimate the model that represents the relationship between the variables and employs it for statistical prediction. Logistic models also enable prediction of the occurrence or non-occurrence of specific events. However, certain assumptions may not hold true, prompting the use of neural networks. Neural networks have the capability to model data and make predictions without relying on specific assumptions about the nature of the variables or their relationships.
Keywords
Neural Networks; Logistic regression; Infant mortality; Libya
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