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A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests
16 references·0 citing·48 second hop
A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests (2018)A D-vine copula mixed model for joint met…A mixed effect model for bivariate meta‐analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution (2015)A mixed effect model for biva…Methods for the joint meta‐analysis of multiple tests (2014)Methods for the joint meta‐an…Dependence Modeling with Copulas (2014)Dependence Modeling with Copu…Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorial (2013)Statistical methods for multi…Meta‐analysis for diagnostic accuracy studies: a new statistical model using beta‐binomial distributions and bivariate copulas (2013)Meta‐analysis for diagnostic …Factor Copula Models for Item Response Data (2013)Factor Copula Models for Item…Empirical Evidence of the Importance of Comparative Studies of Diagnostic Test Accuracy (2013)Empirical Evidence of the Imp…A practical introduction to multivariate meta-analysis (2012)A practical introduction to m…Tail order and intermediate tail dependence of multivariate copulas (2011)Tail order and intermediate t…Multivariate meta‐analysis: Potential and promise (2011)Multivariate meta‐analysis: P…Vine copulas with asymmetric tail dependence and applications to financial return data (2010)Vine copulas with asymmetric …Tail dependence functions and vine copulas (2009)Tail dependence functions and…Systematic Reviews of Diagnostic Test Accuracy (2008)Systematic Reviews of Diagnos…Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach (2006)Bivariate meta-analysis of se…Challenges in Systematic Reviews of Diagnostic Technologies (2005)Challenges in Systematic Revi…Families of $m$-variate distributions with given margins and $m(m-1)/2$ bivariate dependence parameters (1996)Families of $m$-variate distr…Advanced methods in meta‐analysis: multivariate approach and meta‐regression (2002)What to add to nothing? 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this work references cited by second hop

References

  • 2014Dependence Modeling with Copulas1,564 cited
  • 2008Systematic Reviews of Diagnostic Test Accuracy1,124 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
  • 2009Tail dependence functions and vine copulas284 cited
  • 2012A practical introduction to multivariate meta-analysis255 cited
  • 2010Vine copulas with asymmetric tail dependence and applications to financial return data214 cited
  • 2013Empirical Evidence of the Importance of Comparative Studies of Diagnostic Test Accuracy187 cited
  • 2005Challenges in Systematic Reviews of Diagnostic Technologies176 cited
  • 2011Tail order and intermediate tail dependence of multivariate copulas139 cited
  • 2013Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorial66 cited
  • 2013Meta‐analysis for diagnostic accuracy studies: a new statistical model using beta‐binomial distributions and bivariate copulas65 cited
  • 2013Factor Copula Models for Item Response Data57 cited

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2015
A mixed effect model for bivariate meta‐analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution
45 cited
  • 2014Methods for the joint meta‐analysis of multiple tests40 cited
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