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A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects
16 references·2 citing·46 second hop
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References

  • 2007Pair-copula constructions of multiple dependence2,055 cited
  • 1986The Joy of Copulas: Bivariate Distributions with Uniform Marginals790 cited
  • 1996Families of $m$-variate distributions with given margins and $m(m-1)/2$ bivariate dependence parameters777 cited
  • 2006Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach709 cited
  • 2011Multivariate meta‐analysis: Potential and promise530 cited
  • 2013Variation of a test’s sensitivity and specificity with disease prevalence527 cited
  • 2009Tail dependence functions and vine copulas284 cited
  • 2012A practical introduction to multivariate meta-analysis255 cited
  • 2002Multivariate extremes, aggregation and dependence in elliptical distributions251 cited
  • 2010Vine copulas with asymmetric tail dependence and applications to financial return data214 cited
  • 2012Maximum likelihood estimation of mixed C-vines with application to exchange rates201 cited
  • 2012Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies176 cited
  • 1987Intermediate, Indeterminate, and Uninterpretable Diagnostic Test Results159 cited
  • 2010Bayesian bivariate meta‐analysis of diagnostic test studies using integrated nested Laplace approximations

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98 cited
  • 2009Meta‐analysis of diagnostic accuracy studies accounting for disease prevalence: Alternative parameterizations and model selection91 cited
  • 2013Factor Copula Models for Item Response Data57 cited
  • Cited by

    • 2015CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies10 cited
    • 2024Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence5 cited