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Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis.


ABSTRACT: We consider modeling the dependence of sensitivity and specificity on the disease prevalence in diagnostic accuracy studies. Many meta-analyses compare test accuracy across studies and fail to incorporate the possible connection between the accuracy measures and the prevalence. We propose a Pearson type correlation coefficient and an estimating equation-based regression framework to help understand such a practical dependence. The results we derive may then be used to better interpret the results from meta-analyses. In the biomedical examples analyzed in this paper, the diagnostic accuracy of biomarkers are shown to be associated with prevalence, providing insights into the utility of these biomarkers in low- and high-prevalence populations.

SUBMITTER: Li J 

PROVIDER: S-EPMC4042906 | biostudies-other | 2011 Oct

REPOSITORIES: biostudies-other

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Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis.

Li Jialiang J   Fine Jason P JP  

Biostatistics (Oxford, England) 20110427 4


We consider modeling the dependence of sensitivity and specificity on the disease prevalence in diagnostic accuracy studies. Many meta-analyses compare test accuracy across studies and fail to incorporate the possible connection between the accuracy measures and the prevalence. We propose a Pearson type correlation coefficient and an estimating equation-based regression framework to help understand such a practical dependence. The results we derive may then be used to better interpret the result  ...[more]

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