Empirical comparisons of meta-analysis methods for diagnostic studies: a meta-epidemiological study.

ABSTRACT:

Objectives

Several methods are commonly used for meta-analyses of diagnostic studies, such as the bivariate linear mixed model (LMM). It estimates the overall sensitivity, specificity, their correlation, diagnostic OR (DOR) and the area under the curve (AUC) of the summary receiver operating characteristic (ROC) estimates. Nevertheless, the bivariate LMM makes potentially unrealistic assumptions (ie, normality of within-study estimates), which could be avoided by the bivariate generalised linear mixed model (GLMM). This article aims at investigating the real-world performance of the bivariate LMM and GLMM using meta-analyses of diagnostic studies from the Cochrane Library.

Methods

We compared the bivariate LMM and GLMM using the relative differences in the overall sensitivit

SUBMITTER: Rosenberger KJ 

PROVIDER: S-EPMC9086644 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature