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 |
Reference manual: | PublicationBias.pdf |
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: PublicationBias_2.2.0.tgz, r-oldrel: PublicationBias_2.2.0.tgz |
Old sources: | PublicationBias archive |
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