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Noncollapsibility and its role in quantifying confounding bias in logistic regression
BACKGROUND: Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to indicate confounding bias. However, many clinical...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8259440/ https://ncbi.nlm.nih.gov/pubmed/34225653 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-021-01316-8 |
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