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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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| Publicat a: | Health Econ |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2018
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| Matèries: | |
| Accés en línia: | 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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