An innovative application of bayesian disease mapping methods to patient safety research: A canadian adverse medical event study

Statistics in Medicine

Volumn 25, Issue 23, 2006, Pages 3960-3980

  MacNab, Ying C ^a,b   Kmetic, Andrew ^c   Gustafson, Paul ^a   Sheps, Sam ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b CHILDREN S AND WOMEN S HEALTH CENTRE OF BRITISH COLUMBIA   (Canada)

^c UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Adverse medical event iatrogenic injury; Disease mapping; Empirical Bayes and full Bayesian inferential methods; Extra Poisson variability; Mapping relative risks; Markov chain monte carlo; Penalized quasi likelihood

Indexed keywords

ADOLESCENT; ADULT; AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; CANADA; CHILD; CLINICAL RESEARCH; DISEASE SURVEILLANCE; FEMALE; GEOGRAPHIC DISTRIBUTION; HEALTH CARE DELIVERY; HEALTH CARE UTILIZATION; HEALTH SERVICES RESEARCH; HEALTH STATISTICS; HIGH RISK POPULATION; HUMAN; IATROGENIC DISEASE; INFANT; MALE; MEDICAL ERROR; MONTE CARLO METHOD; MORTALITY; PATIENT SAFETY; POISSON DISTRIBUTION; PROBABILITY; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL;

ADOLESCENT; ADULT; BAYES THEOREM; BRITISH COLUMBIA; CHILD; CHILD, PRESCHOOL; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; IATROGENIC DISEASE; INFANT; MALE; MODELS, STATISTICAL; PATIENT CARE;

EID: 35148849375     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2507     Document Type: Article

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