Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [tools:::Rd_expr_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.
Maintainer: Peter Solymos peter@analythium.io (ORCID) [contributor]
Authors:
Mika Braginsky mika.br@gmail.com
Maya Mathur mmathur@stanford.edu
Tyler J. VanderWeele tvanderw@hsph.harvard.edu
mathur2020metabias