Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard
- 1 April 2005
- journal article
- review article
- Published by Elsevier in Preventive Veterinary Medicine
- Vol. 68 (1) , 19-33
- https://doi.org/10.1016/j.prevetmed.2005.01.006
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Estimating disease prevalence in the absence of a gold standardStatistics in Medicine, 2002
- Maximum-likelihood estimation of sensitivity and specificity of ELISAs and faecal culture for diagnosis of paratuberculosisPreventive Veterinary Medicine, 2002
- Estimation of sensitivity, specificity and predictive values of two serologic tests for the detection of antibodies against Actinobacillus pleuropneumoniae serotype 2 in the absence of a reference test (gold standard)Preventive Veterinary Medicine, 2001
- Screening without a "Gold Standard": The Hui-Walter Paradigm RevisitedAmerican Journal of Epidemiology, 2001
- Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic TestsBiometrics, 2001
- Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknownPreventive Veterinary Medicine, 2000
- Conditional dependence between tests affects the diagnosis and surveillance of animal diseasesPreventive Veterinary Medicine, 2000
- Bayesian methods in health technology assessment: a review.Health Technology Assessment, 2000
- Latent variable modeling of diagnostic accuracy.Published by JSTOR ,1997
- RE: "BAYESIAN ESTIMATION OF DIESEASE PREVALENCE AND THE PARAMETERS OF DIAGNOSTIC TESTS IN THE ABSENSE OF A GOLD STANDARD"American Journal of Epidemiology, 1997