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Estimating causal effects from observational data with a model for multiple bias
Conventional analyses of observational data may be biased due to confounding, sampling and measurement, and may yield interval estimates that are much too narrow because they do not take into account uncertainty about unknown bias parameters, such as misclassification probabilities. We used a simple...
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| Veröffentlicht in: | Int J Methods Psychiatr Res |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
John Wiley & Sons, Ltd.
2007
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6878580/ https://ncbi.nlm.nih.gov/pubmed/17623387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mpr.205 |
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