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.
- Version2.4.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/18/2023
Documentation
Team
Peter Solymos
MaintainerShow author detailsMika Braginsky
Show author detailsRolesAuthorTyler J. VanderWeele
Show author detailsRolesAuthorMaya Mathur
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 298 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 3,714 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 43 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports9 packages
- Suggests3 packages
- Reverse Suggests1 package