Classifying hospitals as mortality outliers: Logistic versus hierarchical logistic models

Journal of Medical Systems

Volumn 38, Issue 5, 2014, Pages

  Alexandrescu, Roxana ^a,b   Bottle, Alex ^a   Jarman, Brian ^a   Aylin, Paul ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Hierarchical logistic regression; Logistic regression; Standardised mortality ratios

Indexed keywords

ABDOMINAL AORTA ANEURYSM; ACUTE DISEASE; ACUTE HEART INFARCTION; ADOLESCENT; ADULT; AGED; ANEURYSM SURGERY; ARTICLE; CEREBROVASCULAR DISEASE; CORONARY ARTERY BYPASS GRAFT; FEMALE; FEMUR NECK FRACTURE; HOSPITAL; HOSPITAL ADMISSION; HUMAN; INFANT; MAJOR CLINICAL STUDY; MALE; NEWBORN; STANDARDIZED MORTALITY RATIO; UNITED KINGDOM; CLASSIFICATION; COMPARATIVE STUDY; EPIDEMIOLOGY; HEALTH CARE QUALITY; HEART FAILURE; MIDDLE AGED; MORTALITY; PUBLIC HOSPITAL; RISK FACTOR; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRENDS; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ENGLAND; FEMALE; HEART FAILURE; HOSPITAL MORTALITY; HOSPITALS, PUBLIC; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, STATISTICAL; QUALITY INDICATORS, HEALTH CARE; RISK FACTORS;

EID: 84897357974     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0029-x     Document Type: Article

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