Bayesian bivariate random effects meta-analysis of diagnostic studies using INLA

Michaela Paul, Andrea Riebler, Lucas Bachmann, Haavard Rue & Leonhard Held
Meta-analysis of diagnostic test accuracy studies is often done by jointly analyzing pairs of sensitivity and specificity in a generalized linear mixed model. Bivariate random effects account for correlation between these two measures. Mainly likelihood approaches are used for model fitting. However,[for full text, please go to the a.m. URL]