An one‐factor copula mixed model for joint meta‐analysis of multiple diagnostic tests
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DOI: 10.1111/rssa.12838
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- Joe, Harry & Li, Haijun & Nikoloulopoulos, Aristidis K., 2010. "Tail dependence functions and vine copulas," Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 252-270, January.
- Dißmann, J. & Brechmann, E.C. & Czado, C. & Kurowicka, D., 2013. "Selecting and estimating regular vine copulae and application to financial returns," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 52-69.
- Nikoloulopoulos, Aristidis K. & Joe, Harry & Li, Haijun, 2012. "Vine copulas with asymmetric tail dependence and applications to financial return data," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3659-3673.
- Aristidis Nikoloulopoulos & Harry Joe, 2015. "Factor Copula Models for Item Response Data," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 126-150, March.
- Haitao Chu & Hongfei Guo & Yijie Zhou, 2010. "Bivariate Random Effects Meta-Analysis of Diagnostic Studies Using Generalized Linear Mixed Models," Medical Decision Making, , vol. 30(4), pages 499-508, July.
- Yulun Liu & Yong Chen & Haitao Chu, 2015. "A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard," Biometrics, The International Biometric Society, vol. 71(2), pages 538-547, June.
- Qinshu Lian & James S. Hodges & Haitao Chu, 2019. "A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 949-961, July.
- Krupskii, Pavel & Joe, Harry, 2013. "Factor copula models for multivariate data," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 85-101.
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