Estimation of the sensitivity and specificity of two serum ELISAs and one fecal qPCR for diagnosis of paratuberculosis in sub-clinically infected young-adult French sheep using latent class Bayesian modeling-Reference-Cited by-同舟云学术

Estimation of the sensitivity and specificity of two serum ELISAs and one fecal qPCR for diagnosis of paratuberculosis in sub-clinically infected young-adult French sheep using latent class Bayesian modeling

Published:2017-08-03 Issue:1 Volume:13 Page:
ISSN:1746-6148
Container-title:BMC Veterinary Research
language:en
Short-container-title:BMC Vet Res

Author:

Mathevon Yoann,Foucras Gilles,Falguières Rémy,Corbiere Fabien^ORCID

Funder

Institut National de la Recherche Agronomique

Region Midi-Pyrénnées

Publisher

Springer Science and Business Media LLC

Subject

General Veterinary,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s12917-017-1145-x.pdf

Reference60 articles.

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2. Kostoulas P, Nielsen SS, Branscum AJ, Johnson WO, Dendukuri N, Dhand NK, et al. STARD-BLCM: standards for the reporting of diagnostic accuracy studies that use Bayesian latent class models. Prev Vet Med. 2017;138:37–47.

3. Hui SL, Walter SD. Estimating the error rates of diagnostic tests. Biometrics. 1980;36:167–71.

4. Dendukuri N, Joseph L. Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics. 2001;57:158–67.

5. Georgiadis MP, Johnson WO, Gardner IA, Singh R. Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests. J R Stat Soc Series B Stat Methodol. 2003;52:63–76.

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