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PublicationBias  

Sensitivity Analysis for Publication Bias in Meta-Analyses
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]
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
Previous versions and publish date:
1.0.0 (2019-04-01 11:00), 1.1.0 (2019-10-26 18:40), 2.0.0 (2020-03-30 17:50), 2.1.0 (2020-07-09 17:10), 2.2.0 (2020-07-22 21:20), 2.3.0 (2023-01-20 00:20)
Other packages that cited PublicationBias R package
View PublicationBias citation profile
Other R packages that PublicationBias depends, imports, suggests or enhances
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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