PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses

Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<doi:10.31219/>]). These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." Comparable statements can be made regarding shifting to a chosen non-null value or shifting the confidence interval. Provides a worst-case meta-analytic point estimate under maximal publication bias obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies.

Version: 2.3.0
Depends: R (≥ 4.1.0)
Imports: dplyr, ggplot2, glue, lifecycle, metabias, metafor, stats, Rdpack, rlang, robumeta
Suggests: purrr, testthat (≥ 3.0.0), withr
Published: 2023-01-19
Author: Mika Braginsky [aut, cre], Maya Mathur [aut], Tyler J. VanderWeele [aut]
Maintainer: Mika Braginsky < at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: PublicationBias results


Reference manual: PublicationBias.pdf


Package source: PublicationBias_2.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PublicationBias_2.3.0.tgz, r-oldrel (arm64): PublicationBias_2.3.0.tgz, r-release (x86_64): PublicationBias_2.3.0.tgz, r-oldrel (x86_64): PublicationBias_2.3.0.tgz
Old sources: PublicationBias archive

Reverse dependencies:

Reverse suggests: multibiasmeta


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