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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Int J Methods Psychiatr Res |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
John Wiley & Sons, Ltd.
2007
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| Θέματα: | |
| Διαθέσιμο Online: | 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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