altmeta

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) - heterogeneity tests and measures and penalization methods that are robust to outliers (Lin et al., 2017; Wang et al., 2022); - measures, tests, and visualization tools for publication bias or small-study effects (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).

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