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10.3348/kjr.2015.16.6.1188

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suck abstract from ncbi


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pmid26576107
      Korean+J+Radiol 2015 ; 16 (6 ): 1188-96
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  • Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part II Statistical Methods of Meta-Analysis #MMPMID26576107
  • Lee J ; Kim KW ; Choi SH ; Huh J ; Park SH
  • Korean J Radiol 2015[Nov]; 16 (6 ): 1188-96 PMID26576107 show ga
  • Meta-analysis of diagnostic test accuracy studies differs from the usual meta-analysis of therapeutic/interventional studies in that, it is required to simultaneously analyze a pair of two outcome measures such as sensitivity and specificity, instead of a single outcome. Since sensitivity and specificity are generally inversely correlated and could be affected by a threshold effect, more sophisticated statistical methods are required for the meta-analysis of diagnostic test accuracy. Hierarchical models including the bivariate model and the hierarchical summary receiver operating characteristic model are increasingly being accepted as standard methods for meta-analysis of diagnostic test accuracy studies. We provide a conceptual review of statistical methods currently used and recommended for meta-analysis of diagnostic test accuracy studies. This article could serve as a methodological reference for those who perform systematic review and meta-analysis of diagnostic test accuracy studies.
  • |*Research [MESH]
  • |Area Under Curve [MESH]
  • |Databases, Factual [MESH]
  • |Diagnostic Tests, Routine/*statistics & numerical data [MESH]
  • |Humans [MESH]
  • |ROC Curve [MESH]


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