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

Internet

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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