Longitudinal profiling of health care units based on continuous and discrete patient outcomes

Biostatistics

Volumn 7, Issue 1, 2006, Pages 1-15

  Daniels, Michael J ^a   Normand, Sharon Lise T ^b,c  

^a University of Florida ^*  (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Bayesian hierarchical model; Correlation matrix; Informative priors; Latent variable; Mental health

Indexed keywords

ARTICLE; BAYES THEOREM; GOVERNMENT; HEALTH CARE QUALITY; HEALTH SERVICES RESEARCH; HOSPITALIZATION; HUMAN; LONGITUDINAL STUDY; MENTAL HEALTH SERVICE; METHODOLOGY; OUTCOME ASSESSMENT; PUBLIC HOSPITAL; REGRESSION ANALYSIS; STANDARD; STATISTICAL MODEL; STATISTICS; UNITED STATES; VETERAN;

BAYES THEOREM; HEALTH SERVICES RESEARCH; HOSPITALIZATION; HOSPITALS, VETERANS; HUMANS; LONGITUDINAL STUDIES; MENTAL HEALTH SERVICES; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); QUALITY OF HEALTH CARE; REGRESSION ANALYSIS; UNITED STATES; UNITED STATES DEPARTMENT OF VETERANS AFFAIRS; VETERANS;

EID: 29344446857     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxi036     Document Type: Article

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