Package: PublicationBias 2.4.0
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.
Authors:
PublicationBias_2.4.0.tar.gz
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PublicationBias_2.4.0.tgz(r-4.4-any)PublicationBias_2.4.0.tgz(r-4.3-any)
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PublicationBias.pdf |PublicationBias.html✨
PublicationBias/json (API)
NEWS
# Install 'PublicationBias' in R: |
install.packages('PublicationBias', repos = c('https://mathurlabstanford.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mathurlabstanford/publicationbias/issues
Last updated 1 years agofrom:748b33e9c7. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | OK | Nov 10 2024 |
R-4.5-linux | OK | Nov 10 2024 |
R-4.4-win | OK | Nov 10 2024 |
R-4.4-mac | OK | Nov 10 2024 |
R-4.3-win | OK | Nov 10 2024 |
R-4.3-mac | OK | Nov 10 2024 |
Exports:corrected_metapubbias_metapubbias_svaluepval_plotsignificance_funnelsvalue
Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetabiasmetadatmetaformgcvmunsellnlmenumDerivpbapplypillarpkgconfigR6rbibutilsRColorBrewerRdpackrlangrobumetascalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimate publication bias-corrected meta-analysis | corrected_meta pubbias_meta |
Plot one-tailed p-values | pval_plot |
Make significance funnel plot | significance_funnel |