Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part II. Statistical Methods of Meta-Analysis
Korean Journal of Radiology
;
: 1188-1196, 2015.
Article
in English
| WPRIM
| ID: wpr-102549
ABSTRACT
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Research
/
Software
/
ROC Curve
/
Databases, Factual
/
Area Under Curve
/
Diagnostic Tests, Routine
Type of study:
Diagnostic study
/
Prognostic study
/
Systematic reviews
Limits:
Humans
Language:
English
Journal:
Korean Journal of Radiology
Year:
2015
Type:
Article
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