Package: PublicationBias Title: Sensitivity Analysis for Publication Bias in Meta-Analyses Version: 2.4.0 Authors@R: c( person("Mika", "Braginsky", email = "mika.br@gmail.com", role = c("aut")), person("Maya", "Mathur", email = "mmathur@stanford.edu", role = c("aut")), person("Tyler J.", "VanderWeele", email = "tvanderw@hsph.harvard.edu", role = c("aut")), person("Peter", "Solymos", email = "peter@analythium.io", role = c("cre", "ctb"), comment = c(ORCID = "0000-0001-7337-1740")) ) Description: Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 []). 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. License: GPL-2 URL: https://github.com/mathurlabstanford/PublicationBias, https://mathurlabstanford.github.io/PublicationBias/ BugReports: https://github.com/mathurlabstanford/PublicationBias/issues Encoding: UTF-8 Depends: R (>= 4.1.0) Imports: dplyr, ggplot2, glue, lifecycle, metabias, metafor, stats, Rdpack, rlang, robumeta Suggests: purrr, testthat (>= 3.0.0), withr RoxygenNote: 7.2.3 Roxygen: list(markdown = TRUE) RdMacros: Rdpack Config/testthat/edition: 3 Repository: https://mathurlabstanford.r-universe.dev Date/Publication: 2023-08-18 19:48:17 UTC RemoteUrl: https://github.com/mathurlabstanford/publicationbias RemoteRef: HEAD RemoteSha: 748b33e9c7abd60346e998163cc445118499d48a NeedsCompilation: no Packaged: 2026-06-21 06:41:57 UTC; root Author: Mika Braginsky [aut], Maya Mathur [aut], Tyler J. VanderWeele [aut], Peter Solymos [cre, ctb] (ORCID: ) Maintainer: Peter Solymos