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.">

PublicationBias: Sensitivity Analysis for Publication Bias in Meta-Analyses (original) (raw)

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 ORCID iD [cre, ctb]
Maintainer: Peter Solymos
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

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