unmconf : an R package for Bayesian regression with unmeasured confounders
Abstract The inability to correctly account for unmeasured confounding can lead to bias in parameter estimates, invalid uncertainty assessments, and erroneous conclusions. Sensitivity analysis is an approach to investigate the impact of unmeasured confounding in observational studies. However, the a...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMC
2024-09-01
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| Collection: | BMC Medical Research Methodology |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1186/s12874-024-02322-2 |
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