Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification

BACKGROUND: Statistical model building requires selection of variables for a model depending on the model’s aim. In descriptive and explanatory models, a common recommendation often met in the literature is to include all variables in the model which are assumed or known to be associated with the ou...

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Detalles Bibliográficos
Autores principales: Hafermann, Lorena, Becher, Heiko, Herrmann, Carolin, Klein, Nadja, Heinze, Georg, Rauch, Geraldine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480029/
https://www.ncbi.nlm.nih.gov/pubmed/34587892
http://dx.doi.org/10.1186/s12874-021-01373-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480029/
https://www.ncbi.nlm.nih.gov/pubmed/34587892
http://dx.doi.org/10.1186/s12874-021-01373-z

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