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Modeling Outputs Can Be Valuable When Uncertainty Is Appropriately Acknowledged, but Misleading When Not
While modeling approaches seek to draw on the best available evidence to project health impact of improved coverage of specific interventions, uncertainty around the outputs often remains. When the modeling estimates are used for advocacy, these uncertainties should be communicated to policy makers...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Global Health: Science and Practice
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752600/ https://www.ncbi.nlm.nih.gov/pubmed/29284692 http://dx.doi.org/10.9745/GHSP-D-17-00444 |