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 doi:10.1177/0962280210393712) - heterogeneity tests and measures and penalization methods that are robust to outliers (Lin et al., 2017 doi:10.1111/biom.12543; Wang et al., 2022 doi:10.1002/sim.9261); - measures, tests, and visualization tools for publication bias or small-study effects (Lin and Chu, 2018 doi:10.1111/biom.12817; Lin, 2019 doi:10.1002/jrsm.1340; Lin, 2020 doi:10.1177/0962280220910172; Shi et al., 2020 doi:10.1002/jrsm.1415); - meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc. (Reitsma et al., 2005 doi:10.1016/j.jclinepi.2005.02.022; Chu and Cole, 2006 doi:10.1016/j.jclinepi.2006.06.011); - meta-analysis methods for synthesizing proportions (Lin and Chu, 2020 doi:10.1097/ede.0000000000001232); - models for multivariate meta-analysis, measures of inconsistency degrees of freedom in Bayesian network meta-analysis, and predictive P-score (Lin and Chu, 2018 doi:10.1002/jrsm.1293; Lin, 2020 doi:10.1080/10543406.2020.1852247; Rosenberger et al., 2021 doi:10.1186/s12874-021-01397-5).