Bayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitals

BMC Medical Research Methodology

Volumn 8, Issue , 2008, Pages

  Austin, Peter C ^a,b  

^a INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART INFARCTION; ARTICLE; BAYES THEOREM; CLASSIFICATION; COMPARATIVE STUDY; ERROR; HOSPITAL; HOSPITALIZATION; MATHEMATICAL MODEL; MEDICAL RECORD; MORTALITY; HEALTH CARE QUALITY; HUMAN; OUTCOME ASSESSMENT; REGRESSION ANALYSIS; STANDARD;

BAYES THEOREM; HOSPITAL MORTALITY; HOSPITALS; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); QUALITY INDICATORS, HEALTH CARE; QUALITY OF HEALTH CARE; REGRESSION ANALYSIS;

EID: 44949232083     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-8-30     Document Type: Article

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