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Differential analysis of disease risk assessment using binary logistic regression with different analysis strategies

OBJECTIVE: To investigate the importance of controlling confounding factors during binary logistic regression analysis. METHODS: Male coronary heart disease (CHD) patients (n = 664) and healthy control subjects (n = 400) were enrolled. Fourteen indexes were collected: age, uric acid, cholesterol, tr...

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Detalles Bibliográficos
Autores principales:	Xu, Wenbo, Zhao, Yang, Nian, Shiyan, Feng, Lei, Bai, Xuejing, Luo, Xuan, Luo, Feng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2018
Materias:	Clinical Research Reports
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136018/ https://www.ncbi.nlm.nih.gov/pubmed/29882459 http://dx.doi.org/10.1177/0300060518777173

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