A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression

Statistics in Medicine

Volumn 27, Issue 13, 2008, Pages 2440-2452

  Stamey, James D ^a   Young, Dean M ^a   Seaman Jr , John W ^a  

^a BAYLOR UNIVERSITY   (United States)

Author keywords

Bayes; Count data; Misclassification

Indexed keywords

AFRICA; ARTICLE; ATOMIC BOMB SURVIVOR; AUTOPSY; BAYES THEOREM; CAUSE OF DEATH; CLASSIFICATION; CLASSIFICATION ALGORITHM; DATA ANALYSIS; HUMAN; JAPAN; MATHEMATICAL MODEL; MISCLASSIFICATION; MORTALITY; NEOPLASM; POISSON DISTRIBUTION; PROBABILITY; RADIATION ABSORPTION; REGRESSION ANALYSIS; RESPIRATORY TRACT INFECTION; SIMULATION; STATISTICAL ANALYSIS;

BAYES THEOREM; CAUSE OF DEATH; CHILD, PRESCHOOL; COMPUTER SIMULATION; HUMANS; INFANT; INFANT, NEWBORN; MODELS, STATISTICAL; NEOPLASMS; POISSON DISTRIBUTION; RESPIRATORY TRACT INFECTIONS;

EID: 44949139731     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3134     Document Type: Article

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