PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses

Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<https://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:	2.2.0
Imports:	metafor, stats, dplyr, robumeta, ggplot2, Rdpack, MetaUtility
Published:	2020-07-22
Author:	Maya B. Mathur, Tyler J. VanderWeele
Maintainer:	Maya B. Mathur <mmathur at stanford.edu>
License:	GPL-2
NeedsCompilation:	no
In views:	MetaAnalysis
CRAN checks:	PublicationBias results

Documentation:

Reference manual:

PublicationBias.pdf

Downloads:

Package source:	PublicationBias_2.2.0.tar.gz
Windows binaries:	r-devel: PublicationBias_2.2.0.zip, r-release: PublicationBias_2.2.0.zip, r-oldrel: PublicationBias_2.2.0.zip
macOS binaries:	r-release (arm64): PublicationBias_2.2.0.tgz, r-oldrel (arm64): PublicationBias_2.2.0.tgz, r-release (x86_64): PublicationBias_2.2.0.tgz, r-oldrel (x86_64): PublicationBias_2.2.0.tgz
Old sources:	PublicationBias archive

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