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Could simulation methods solve the curse of sparse data within clinical studies of antibiotic resistance?
Infectious disease (ID) physicians and ID pharmacists commonly confront therapeutic questions relating to antibiotic resistance. Randomized controlled trial data are few and meta-analytic-based approaches to develop the evidence-base from several small studies that might relate to an antibiotic resi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210330/ https://www.ncbi.nlm.nih.gov/pubmed/34223093 http://dx.doi.org/10.1093/jacamr/dlab016 |