Bayesian estimation of the probability of asbestos exposure from lung fiber counts

Biometrics

Volumn 66, Issue 2, 2010, Pages 603-612

  Weichenthal, Scott ^a   Joseph, Lawrence ^a,b   Bélisle, Patrick ^b   Dufresne, André ^c  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Asbestos exposure; Bayesian analysis; Diagnostic test; Hierarchical model; Latent class model; ROC curve; Sensitivity; Specificity

Indexed keywords

ASBESTOS; BIOLOGICAL ORGANS; DIAGNOSIS; HIERARCHICAL SYSTEMS; POPULATION STATISTICS; RISK PERCEPTION; STATISTICAL TESTS;

ASBESTOS EXPOSURE; BAYESIAN ANALYSIS; BAYESIAN ESTIMATIONS; DIAGNOSTIC TESTS; FIBER COUNT; HIERARCHICAL MODEL; LATENT CLASS MODEL; ROC CURVES; SENSITIVITY; SPECIFICITY;

BAYESIAN NETWORKS;

ASBESTOS; BAYESIAN ANALYSIS; HIERARCHICAL SYSTEM; PROBABILITY; SAMPLING; SENSITIVITY ANALYSIS;

ASBESTOS;

ANALYSIS; BAYES THEOREM; HUMAN; LUNG; OCCUPATIONAL EXPOSURE; PATHOLOGY; PROBABILITY; PROCEDURES; STATISTICS AND NUMERICAL DATA; WORKMAN COMPENSATION;

ASBESTOS; BAYES THEOREM; HUMANS; LUNG; METHODS; OCCUPATIONAL EXPOSURE; PROBABILITY; WORKERS' COMPENSATION;

EID: 77952985437     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01279.x     Document Type: Article

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