Empirical Comparisons of 12 Meta-analysis Methods for Synthesizing Proportions of Binary Outcomes.

ABSTRACT:

Background

Meta-analysis is increasingly used to synthesize proportions (e.g., disease prevalence). It can be implemented with widely used two-step methods or one-step methods, such as generalized linear mixed models (GLMMs). Existing simulation studies have shown that GLMMs outperform the two-step methods in some settings. It is, however, unclear whether these simulation settings are common in the real world. We aim to compare the real-world performance of various meta-analysis methods for synthesizing proportions.

Methods

We extracted datasets of proportions from the Cochrane Library and applied 12 two-step and one-step methods to each dataset. We used Spearman's ρ and the Bland-Altman plot to assess their results' correlation and agreement. The GLMM with the logit link wa

SUBMITTER: Lin L 

PROVIDER: S-EPMC8432281 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature