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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| 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 |