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...

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Detalles Bibliográficos
Autores principales: Norén, G Niklas, Hopstadius, Johan, Bate, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2011
Materias:
Articles
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6331976/
https://www.ncbi.nlm.nih.gov/pubmed/21705438
http://dx.doi.org/10.1177/0962280211403604

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