A semiparametric mixture model for the meta-analysis of diagnostic test accuracy studies

Heterogeneity is a common challenge in meta-analysis, where differences in study design, populations, and measurement methods often violate the assumption of homogeneity, a violation that can substantially impact the validity, precision, and interpretation of pooled effect estimates [ref:1], [for full text, please go to the a.m. URL]