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Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects
BACKGROUND: Decision makers in health care increasingly rely on nonrandomized database analyses to assess the effectiveness, safety, and value of medical products. Health care data scientists use data-adaptive approaches that automatically optimize confounding control to study causal treatment effec...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Dove Medical Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039060/ https://www.ncbi.nlm.nih.gov/pubmed/30013400 http://dx.doi.org/10.2147/CLEP.S166545 |