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A Bayesian framework for health economic evaluation in studies with missing data
Health economics studies with missing data are increasingly using approaches such as multiple imputation that assume that the data are “missing at random.” This assumption is often questionable, as—even given the observed data—the probability that data are missing may reflect the true, unobserved ou...
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| 出版年: | Health Econ |
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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 and Sons Inc.
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6220766/ https://ncbi.nlm.nih.gov/pubmed/29969834 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hec.3793 |
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