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.
Package details |
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Author | Mika Braginsky [aut, cre], Maya Mathur [aut], Tyler J. VanderWeele [aut] |
Maintainer | Mika Braginsky <mika.br@gmail.com> |
License | GPL-2 |
Version | 2.3.0 |
URL | https://github.com/mayamathur/PublicationBias https://mayamathur.github.io/PublicationBias/ |
Package repository | View on CRAN |
Installation |
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