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Random effects models for identifying the most harmful medication errors in a large, voluntary reporting database
Author(s) -
Sergio Venturini,
Jessica M. Franklin,
Laura L. Morlock,
Francesca Dominici
Publication year - 2017
Publication title -
annals of applied statistics/the annals of applied statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.674
H-Index - 75
eISSN - 1941-7330
pISSN - 1932-6157
DOI - 10.1214/16-aoas974
Subject(s) - harm , ranking (information retrieval) , bayesian probability , computer science , random effects model , econometrics , statistics , data mining , medicine , machine learning , psychology , mathematics , artificial intelligence , meta analysis , social psychology

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