Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach.

By Haitao Chu, Stephen R. Cole. Journal of Clinical Epidemiology, 2006

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Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis (2007, methodology): “Our analysis used the generalized linear mixed model approach to bivariate meta-analysis.(27) Receiver Operator Characteristic (ROC) curves are the most informative way of representing the inherent trade-offs between sensitivity and specificity for a test or diagnostic instrument.”
Multivariate meta-analysis: Potential and promise (2011, background): “Perhaps the most common medical application of multivariate meta-analysis is the bivariate metaanalysis of studies of diagnostic test accuracy [5, 28].”
Multivariate meta‐analysis: the effect of ignoring within‐study correlation (2009, methodology): “…1997; Gail et al., 2000), prognostic markers (Riley, Abrams, Lambert, Sutton and Thompson, 2007), diagnostic tests (Reitsma et al., 2005; Chu and Cole, 2006; Riley, Abrams, Sutton, Lambert and Thompson, 2007; Harbord et al., 2007) and genetic epidemiology (Thompson et al., 2005), among others.”