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Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<doi:10.31219/osf.io/s9dp6>]). 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: | 2.4.0 |
Depends: | R (≥ 4.1.0) |
Imports: | dplyr, ggplot2, glue, lifecycle, metabias, metafor, stats, Rdpack, rlang, robumeta |
Suggests: | purrr, testthat (≥ 3.0.0), withr |
Published: | 2023-08-18 |
DOI: | 10.32614/CRAN.package.PublicationBias |
Author: | Mika Braginsky [aut], Maya Mathur [aut], Tyler J. VanderWeele [aut], Peter Solymos [cre, ctb] |
Maintainer: | Peter Solymos <peter at analythium.io> |
BugReports: | https://github.com/mathurlabstanford/PublicationBias/issues |
License: | GPL-2 |
URL: | https://github.com/mathurlabstanford/PublicationBias, https://mathurlabstanford.github.io/PublicationBias/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | MetaAnalysis |
CRAN checks: | PublicationBias results |
Reference manual: | PublicationBias.pdf |
Package source: | PublicationBias_2.4.0.tar.gz |
Windows binaries: | r-devel: PublicationBias_2.4.0.zip, r-release: PublicationBias_2.4.0.zip, r-oldrel: PublicationBias_2.4.0.zip |
macOS binaries: | r-release (arm64): PublicationBias_2.4.0.tgz, r-oldrel (arm64): PublicationBias_2.4.0.tgz, r-release (x86_64): PublicationBias_2.4.0.tgz, r-oldrel (x86_64): PublicationBias_2.4.0.tgz |
Old sources: | PublicationBias archive |
Reverse suggests: | multibiasmeta |
Please use the canonical form https://CRAN.R-project.org/package=PublicationBias to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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