LOGISTIC AND PROBIT REGRESSION MODELING TO PREDICT THE OPPORTUNITIES OF DIABETES IN PROSPECTIVE ATHLETES

LOGISTIC AND PROBIT REGRESSION MODELING TO PREDICT THE OPPORTUNITIES OF DIABETES IN PROSPECTIVE ATHLETES

Diabetes is among the most prevalent chronic diseases globally, posing significant health risks to individuals. The identification of individuals at risk of developing these conditions is of paramount importance, particularly in high-stress and physically demanding activities such as athletic traini...

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Bibliographic Details
Main Authors: Danang Ariyanto, A'yunin Sofro, A’idah Nur Hanifah, Junaidi Budi Prihanto, Dimas Avian Maulana, Riska Wahyu Romadhonia
Format: Article
Language:English
Published: Universitas Pattimura 2024-07-01
Series:Barekeng
Subjects:
anthropometric
athletic
diabetes
logistic regression
probit regression
socio-demographic
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/10452
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/10452

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