Using hierarchial models to analyse clinical indicators: A comparison of the gamma-Poisson and beta-binomial models

International Journal for Quality in Health Care

Volumn 15, Issue 4, 2003, Pages 319-329

  Howley, Peter P ^a   Gibberd, Robert ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Beta binomial; Clinical indicators; Empirical Bayesian shrinkage estimators; Gamma Poisson; Hierarchical models; System gains

Indexed keywords

ARTICLE; BAYES THEOREM; BINOMIAL DISTRIBUTION; CONTROLLED STUDY; GYNECOLOGY; HEALTH CARE QUALITY; HEALTH CARE SYSTEM; INTERMETHOD COMPARISON; MAXIMUM LIKELIHOOD METHOD; OBSTETRICS; POISSON DISTRIBUTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; AUSTRALIA; COMPARATIVE STUDY; EPIDEMIOLOGY; FEMALE; HOSPITAL DEPARTMENT; HUMAN; PREGNANCY; STATISTICS;

AUSTRALIA; BINOMIAL DISTRIBUTION; FEMALE; HUMANS; MODELS, STATISTICAL; OBSTETRICS AND GYNECOLOGY DEPARTMENT, HOSPITAL; POISSON DISTRIBUTION; PREGNANCY; QUALITY ASSURANCE, HEALTH CARE; QUALITY INDICATORS, HEALTH CARE; SELECTION BIAS;

EID: 0041522656     PISSN: 13534505     EISSN: None     Source Type: Journal    
DOI: 10.1093/intqhc/mzg044     Document Type: Article

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