Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown

Preventive Veterinary Medicine

Volumn 45, Issue 1-2, 2000, Pages 61-81

  Enøe, Claes ^a   Georgiadis, Marios P ^b   Johnson, Wesley O ^b  

^a Div Ethology Hlth Roy Vet A   (Denmark)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bayesian approach; Diagnostic tests; Latent data; Maximum likelihood; Sensitivity; Specificity

Indexed keywords

DIAGNOSTIC TEST; DISEASE DIAGNOSIS; NUCLEOSPORA SALMONIS; POLYMERASE CHAIN REACTION; RAINBOW TROUT; SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ANIMAL DISEASES; ANIMALS; BAYES THEOREM; DIAGNOSTIC TESTS, ROUTINE; LIKELIHOOD FUNCTIONS; PARASITIC DISEASES, ANIMAL; POLYMERASE CHAIN REACTION; PREVALENCE; REFERENCE STANDARDS; SENSITIVITY AND SPECIFICITY; TROUT;

EID: 0034732928     PISSN: 01675877     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-5877(00)00117-3     Document Type: Article

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