Nomogram construction to predict dyslipidemia based on a logistic regression analysis

DOI10.1080/02664763.2019.1660760OpenAlexW2971565154MaRDI QIDQ5037067

Jea-Young Lee, Hyunji Kim, Ju-Hyun Seo

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1660760

zbMATH Keywords

incidence ratedyslipidemiarisk factorsnomogramlogistic regression analysis

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

How to construct a nomogram for hypertension using complex sampling data from Korean adults

Cites Work

• How to build nomogram for type 2 diabetes using a naïve Bayesian classifier technique

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