COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA

Diabetes mellitus is a chronic disease with a rising global prevalence, including in Indonesia. Early detection and accurate modeling are crucial for effective prevention and management. Binary Logistic Regression (BLR) is commonly used for binary outcome modeling; however, in practice, the relation...

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Auteurs principaux:	Bambang Widjanarko Otok, Muhammad Zulfadhli, Riwi Dyah Pangesti, Muhammad Idham Kurniawan, Albertus Eka Putra Haryanto, Darwis Darwis, Iwan Kurniawan
Format:	Artigo
Langue:	Inglês
Publié:	Universitas Pattimura 2025-11-01
Collection:	Barekeng
Sujets:	categorical data bernoulli distribution binary probit regression (bpr) binary logistic regression (blr) fourier series nonparametric binary logistic regression (fsnblr)
Accès en ligne:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17870
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