This package allows doing meta-analysis for primary studies with classification outcomes in order to evaluate systematically the accuracies of classifiers, namely, the diagnostic tests. It provides functions to fit the bivariate model of Reitsma et al.(2005). Moreover, if the reference employed in the classification process isn't a gold standard, its deficit can be detected and its influence to the underestimation of the diagnostic test's accuracy can be corrected, as described in Botella et al.(2013).
|Date of publication||2014-10-16 12:13:09|
|Maintainer||Huiling Huang <firstname.lastname@example.org>|
|License||GPL (>= 2)|
AUDIT: Alcohol Use Disorders Identfication Test
ccp: Anti-cyclic Citrullinated Peptide Antibody
correct.trees: Correct the Classification Outcomes by Methods of Botella et...
fit.bivar: Fit the Bivariate Model of Reitsma et al. (2005)
imperfect.trees: Fit the Multinomial Tree Model 2 of Botella et al (2013)
MMSE: Mini Mental State Examination
perfect.trees: Fit the Multinomial Tree Model 1 of Botella et al (2013)
Schuetz: CT vs. MRI for the Diagnosis of Coronary Artery Disease
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