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Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data
While sample sizes in randomized clinical trials are large enough to estimate the average treatment effect well, they are often insufficient for estimation of treatment-covariate interactions critical to studying data-driven precision medicine. Observational data from real world practice may play an...
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| 出版年: | J Am Stat Assoc |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7985957/ https://ncbi.nlm.nih.gov/pubmed/33767517 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2020.1772080 |
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