Meta-Analysis Methods of Diagnostic Test Accuracy Studies
Ημερομηνία
2022Γλώσσα
en
Λέξη-κλειδί
Επιτομή
Meta-analytic techniques are used to combine the results of different studies that have evaluated the accuracy of diagnostic tests. In this article, we present univariate and multivariate meta-analysis methods for a single test and we provide an extensive description of methods for meta-analysis and comparison of multiple diagnostic tests. We close with a practical example of a meta-analysis that aimed to determine whether Rheumatoid Factor identifies patients with Rheumatoid Arthritis. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Evaluation of the sensitivity and specificity of three diagnostic tests for Coxiella burnetii infection in cattle and buffaloes in Punjab (India) using Bayesian latent class analysis
(2022)Q Fever is a zoonotic disease of significant animal and public health concern, caused by Coxiella burnetii (C. burnetii), an obligate intracellular bacterium. This study was done to evaluate the diagnostic sensitivity (DSe) ... -
A multivariate method for meta-analysis and comparison of diagnostic tests
(2016)We present here an extension of the classic bivariate random effects meta-analysis for the log-transformed sensitivity and specificity that can be applied for two or more diagnostic tests. The advantage of this method is ...