PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses
Performs sensitivity analysis for publication bias in meta-analyses
(per Mathur & VanderWeele, 2020 [<doi:10.31219/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: |
2.4.0 |
Depends: |
R (≥ 4.1.0) |
Imports: |
dplyr, ggplot2, glue, lifecycle, metabias, metafor, stats, Rdpack, rlang, robumeta |
Suggests: |
purrr, testthat (≥ 3.0.0), withr |
Published: |
2023-08-18 |
DOI: |
10.32614/CRAN.package.PublicationBias |
Author: |
Mika Braginsky [aut],
Maya Mathur [aut],
Tyler J. VanderWeele [aut],
Peter Solymos
[cre, ctb] |
Maintainer: |
Peter Solymos <peter at analythium.io> |
BugReports: |
https://github.com/mathurlabstanford/PublicationBias/issues |
License: |
GPL-2 |
URL: |
https://github.com/mathurlabstanford/PublicationBias,
https://mathurlabstanford.github.io/PublicationBias/ |
NeedsCompilation: |
no |
Materials: |
README NEWS |
In views: |
MetaAnalysis |
CRAN checks: |
PublicationBias results |
Documentation:
Downloads:
Reverse dependencies:
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