Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests

Biometrics

Volumn 57, Issue 1, 2001, Pages 158-167

  Dendukuri, N ^a   Joseph, L ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Bayesian analysis; Binary data; Correlation; Diagnostic tests; Gold standard; Latent class model; Markov chain Monte Carlo; Random effects model; Sensitivity; Specificity

Indexed keywords

BAYESIAN NETWORKS; DIAGNOSIS; STATISTICAL TESTS; UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; BINARY DATA; CORRELATION; DIAGNOSTIC TESTS; GOLD STANDARDS; LATENT CLASS MODEL; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; RANDOM EFFECTS MODEL; SENSITIVITY; SPECIFICITY;

MARKOV PROCESSES;

ARTICLE; BAYES THEOREM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; METHODOLOGY; STATISTICAL MODEL; STRONGYLOIDIASIS; SYSTEM ANALYSIS;

STRONGYLOIDES;

EID: 0035106431     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00158.x     Document Type: Article

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