A Bayesian analysis of bivariate ordinal data. Wisconsin epidemiologic study of diabetic retinopathy revisited

Statistics in Medicine

Volumn 21, Issue 4, 2002, Pages 549-559

  Biswas, Atanu ^a,b   Das, Kalyan ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b UNIVERSITY OF CALCUTTA   (India)

Author keywords

Bivariate ordinal data; Gibbs sampler; Global odds ratio; Latent variable

Indexed keywords

ARTICLE; BAYES THEOREM; CALCULATION; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; DIABETIC RETINOPATHY; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; MEDICAL LITERATURE; OPHTHALMOLOGY; STATISTICAL ANALYSIS;

ADULT; AGE OF ONSET; BAYES THEOREM; DIABETES MELLITUS, TYPE 1; DIABETIC RETINOPATHY; FEMALE; HUMANS; MALE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; WISCONSIN;

EID: 0037186435     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1001     Document Type: Article

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