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Confounding and missing data in cost-effectiveness analysis: comparing different methods
INTRODUCTION: Common approaches in cost-effectiveness analyses do not adjust for confounders. In nonrandomized studies this can result in biased results. Parametric models such as regression models are commonly applied to adjust for confounding, but there are several issues which need to be accounte...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3695850/ https://ncbi.nlm.nih.gov/pubmed/23537421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2191-1991-3-8 |
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