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Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery
Large observational data sets are a great asset to better understand the effects of medicines in clinical practice and, ultimately, improve patient care. For an empirical pattern in observational data to be of practical relevance, it should represent a substantial deviation from the null model. For...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6331976/ https://www.ncbi.nlm.nih.gov/pubmed/21705438 http://dx.doi.org/10.1177/0962280211403604 |