The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams

BACKGROUND: Confounders can produce spurious associations between exposure and outcome in observational studies. For majority of epidemiologists, adjusting for confounders using logistic regression model is their habitual method, though it has some problems in accuracy and precision. It is, therefor...

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Detalles Bibliográficos
Autores principales: Yu, Yuanyuan, Li, Hongkai, Sun, Xiaoru, Su, Ping, Wang, Tingting, Liu, Yi, Yuan, Zhongshang, Liu, Yanxun, Xue, Fuzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745640/
https://www.ncbi.nlm.nih.gov/pubmed/29281984
http://dx.doi.org/10.1186/s12874-017-0449-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745640/
https://www.ncbi.nlm.nih.gov/pubmed/29281984
http://dx.doi.org/10.1186/s12874-017-0449-7

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