Research Article
Volume 4 Issue 6 - 2020
Comparison of Logit and Probit Models in the Analysis of Severity of Diabetes
Chrysogonus C Nwaigwe*, Alloy C Onyeka and Sabinus N Nwanneako
Department of Statistics, School of Physical Sciences, Federal University of Technology, Owerri, Imo State, Nigeria
*Corresponding Author: Chrysogonus C Nwaigwe, Department of Statistics, School of Physical Sciences, Federal University of Technology, Owerri, Imo State, Nigeria.
Received:February 21, 2020; Published: May 08, 2020


Recently, diabetes is one of the common and killer diseases in the world. The severity of the disease may depend on the treatment as well as some other factors. This severity may be classified into different categories according to the levels of its complications in the patients. This study is an attempt to investigate the significant factors in severity of diabetes using the logit and probit models and compare results from the two models. The study also seeks to identify the effects of sample size on the estimates of the parameters of the models. The results obtained show that the probit model performed a little better with age as the only significant factor identified in the two models among the factors investigated. The results obtained also show that the efficiency of the coefficients of the logit and probit models increases as the sample size increases.

Keywords: Severity; Diabetes; Logit Model; Probity Model; Sample Size


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Citation: Chrysogonus C Nwaigwe., et al. “Comparison of Logit and Probit Models in the Analysis of Severity of Diabetes". EC Nutrition 4.6 (2020): 01-11.

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