Quality Reporting of Multivariable Regression Models in Observational Studies: Review of a Representative Sample of Articles Published in Biomedical Journals

Controlling for confounders is a crucial step in analytical observational studies, and multivariable models are widely used as statistical adjustment techniques. However, the validation of the assumptions of the multivariable regression models (MRMs) should be made clear in scientific reporting. The...

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Detalles Bibliográficos
Autores principales: Real, Jordi, Forné, Carles, Roso-Llorach, Albert, Martínez-Sánchez, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
4400
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902409/
https://www.ncbi.nlm.nih.gov/pubmed/27196467
http://dx.doi.org/10.1097/MD.0000000000003653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902409/
https://www.ncbi.nlm.nih.gov/pubmed/27196467
http://dx.doi.org/10.1097/MD.0000000000003653

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