Hierarchial modelling of small area and hospital variation in short-term prognosis after acute myocardial infarction. A longitudinal study of 35- to 74-year-old men in Denmark between 1978 and 1997

Statistics in Medicine

Volumn 23, Issue 16, 2004, Pages 2599-2621

  Rasmussen, Søren ^a  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Acute myocardial infarction; Covariance pattern; Deviance information criterion; Hierarchical modelling; Markov chain Monte Carlo methods; Spatial models

Indexed keywords

ACUTE HEART INFARCTION; ADULT; AGED; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DENMARK; FATALITY; HOSPITAL; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; MALE; PROGNOSIS; REGISTER; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER SIMULATION; HEART INFARCTION; HOSPITALIZATION; MIDDLE AGED; MONTE CARLO METHOD; MORTALITY; PROBABILITY; RETROSPECTIVE STUDY;

ADULT; AGED; BAYES THEOREM; COMPUTER SIMULATION; DENMARK; HOSPITALIZATION; HUMANS; MALE; MARKOV CHAINS; MIDDLE AGED; MODELS, STATISTICAL; MONTE CARLO METHOD; MYOCARDIAL INFARCTION; PROGNOSIS; RETROSPECTIVE STUDIES; SMALL-AREA ANALYSIS;

EID: 4344564162     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1843     Document Type: Article

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