Alternative Meta-Analysis Methods

Provides alternative statistical methods for meta-analysis, including: - bivariate generalized linear mixed models for synthesizing odds ratios, relative risks, and risk differences (Chu et al., 2012 ) - tests and measures for between-study heterogeneity (Lin et al., 2017 ; Wang et al., 2022 ; Yu et al., 2025 ); - measures, tests, and visualization tools for publication bias, small-study effects, or related bias (Lin and Chu, 2018 ; Lin, 2019 ; Lin, 2020 ; Shi et al., 2020 ); - meta-analysis of combining standardized mean differences and odds ratios (Jing et al., 2023 ); - meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc. (Reitsma et al., 2005 ; Chu and Cole, 2006 ); - meta-analysis methods for synthesizing proportions (Lin and Chu, 2020 ); - models for multivariate meta-analysis, measures of inconsistency degrees of freedom in Bayesian network meta-analysis, and predictive P-score (Lin and Chu, 2018 ; Lin, 2020 ; Rosenberger et al., 2021 ).