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Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates
BACKGROUND: Confounding is a common issue in epidemiological research. Commonly used confounder-adjustment methods include multivariable regression analysis and propensity score methods. Although it is common practice to assess the linearity assumption for the exposure-outcome effect, most researche...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835340/ https://www.ncbi.nlm.nih.gov/pubmed/36635655 http://dx.doi.org/10.1186/s12874-022-01817-0 |