altmeta: 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 <doi:10.1177/0962280210393712>) - heterogeneity tests and measures that are robust to outliers (Lin et al., 2017 <doi:10.1111/biom.12543>); - 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 (Lin and Chu, 2018 <doi:10.1002/jrsm.1293>); - measures of inconsistency degrees of freedom in Bayesian network meta-analysis (Lin, 2020 <doi:10.1080/10543406.2020.1852247>).

Getting started

Package details

AuthorLifeng Lin [aut, cre] (<>), Linyu Shi [ctb], Kristine J. Rosenberger [ctb], Haitao Chu [aut] (<>)
MaintainerLifeng Lin <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

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altmeta documentation built on March 15, 2021, 5:08 p.m.