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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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| 出版年: | Int J Methods Psychiatr Res |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley & Sons, Ltd.
2007
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| 主題: | |
| オンライン･アクセス: | 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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