Please use this identifier to cite or link to this item: https://doi.org/10.1093/biostatistics/kxr008
Title: Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis
Authors: Li, J. 
Fine, J.P.
Keywords: Correlation analysis
Diagnostic accuracy
Disease prevalence
Estimating equation
Meta-analysis
Issue Date: Oct-2011
Citation: Li, J., Fine, J.P. (2011-10). Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis. Biostatistics 12 (4) : 710-722. ScholarBank@NUS Repository. https://doi.org/10.1093/biostatistics/kxr008
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. © The Author 2011. Published by Oxford University Press. All rights reserved.
Source Title: Biostatistics
URI: http://scholarbank.nus.edu.sg/handle/10635/105011
ISSN: 14654644
DOI: 10.1093/biostatistics/kxr008
Appears in Collections:Staff Publications

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