Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown.
By C. Enøe, M. Georgiadis, Wesley O. Johnson. Preventive Veterinary Medicine, 2000
494 citations recorded by the source corpus.
Subfields: Molecular Biology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/2c4a888cd74a59c1bfd198f208c05f499ad5639f
How researchers see this paper
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In Molecular Biology
In Nature and Landscape Conservation
- Giles M. Foody
- Adam J. Branscum
- I. Gardner
- Wesley O. Johnson
- Michael P. Austin
- Qinghua Guo
- Wenkai Li
Citations in the corpus
- Assessing the accuracy of land cover change with imperfect ground reference data (2010, methodology): “With no information on the quality of the ground reference data available more information or data on the problem than that contained in a single confusion matrix is required in order to allow reliable inferences to be drawn (Hui and Zhou, 1998; Enøe et al., 2000).”
- Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling. (2005, methodology): “We analyzed data previously evaluated in both Georgiadis et al. (1998) and Enøe et al. (2000).”