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PublicationBias

PublicationBias is an R package that provides bias correction and sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020).

Installation

You can install PublicationBias from CRAN with:

install.packages("PublicationBias")

You can install the development version of PublicationBias from GitHub with:

# install.packages("devtools")
devtools::install_github("mathurlabstanford/PublicationBias")

Example

Start by generating some example data from the metafor package.

library(PublicationBias)
dat <- metafor::escalc(measure = "RR", ai = tpos, bi = tneg, ci = cpos,
                       di = cneg, data = dat.bcg)

Calculate the meta-analytic effect size estimate, correcting for an assumed selection ratio of 5 (i.e., affirmative results are 5x more likely to be published than nonaffirmative ones).

pubbias_meta(yi = dat$yi, vi = dat$vi, selection_ratio = 5,
             model_type = "fixed", favor_positive = FALSE)

Calculate how high the selection ratio would need to be to attenuate the effect size estimate to the null.

pubbias_svalue(yi = dat$yi, vi = dat$vi, q = 0,
               model_type = "fixed", favor_positive = FALSE)

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Version

Install

install.packages('PublicationBias')

Monthly Downloads

318

Version

2.4.0

License

GPL-2

Issues

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Maintainer

Peter Solymos

Last Published

August 18th, 2023

Functions in PublicationBias (2.4.0)

PublicationBias-package

PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses
pubbias_meta

Estimate publication bias-corrected meta-analysis
significance_funnel

Make significance funnel plot
pval_plot

Plot one-tailed p-values
pubbias_svalue

Severity of publication bias needed to "explain away" results