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PublicationBias
View on CRAN: Click
here
Download and install PublicationBias package within the R console
Install from CRAN:
install.packages("PublicationBias")
Install from Github:
library("remotes")
install_github("cran/PublicationBias") Install by package version:
library("remotes")
install_version("PublicationBias", "2.4.0") Attach the package and use:
library("PublicationBias")
Maintained by
Peter Solymos
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-01
Latest Update: 2023-08-18
Description:
Performs sensitivity analysis for publication bias in meta-analyses
(per Mathur & VanderWeele, 2020 []). 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.
How to cite:
Peter Solymos (2019). PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses. R package version 2.4.0, https://cran.r-project.org/web/packages/PublicationBias. Accessed 22 Sep. 2026.
Previous versions and publish date:
Other packages that cited PublicationBias R package
View PublicationBias citation profile
Other R packages that PublicationBias depends,
imports, suggests or enhances
Complete documentation for PublicationBias
Functions, R codes and Examples using
the PublicationBias R package
Some associated functions: PublicationBias-package . pubbias_meta . pubbias_svalue . pval_plot . significance_funnel .
Some associated R codes: PublicationBias-package.R . meta.R . metabias-names.R . plots.R . svalue.R . worst.R . Full PublicationBias package functions and examples
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