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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.
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Package details |
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| Author | Mika Braginsky [aut], Maya Mathur [aut], Tyler J. VanderWeele [aut], Peter Solymos [cre, ctb] (<https://orcid.org/0000-0001-7337-1740>) |
| Maintainer | Peter Solymos <peter@analythium.io> |
| License | GPL-2 |
| Version | 2.4.0 |
| URL | https://github.com/mathurlabstanford/PublicationBias https://mathurlabstanford.github.io/PublicationBias/ |
| Package repository | View on CRAN |
| Installation |
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