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  "Title": "Sensitivity Analysis for Publication Bias in Meta-Analyses",
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  "Authors@R": "c(\nperson(\"Mika\", \"Braginsky\", email = \"mika.br@gmail.com\", role = c(\"aut\")),\nperson(\"Maya\", \"Mathur\", email = \"mmathur@stanford.edu\", role = c(\"aut\")),\nperson(\"Tyler J.\", \"VanderWeele\", email = \"tvanderw@hsph.harvard.edu\", role = c(\"aut\")),\nperson(\"Peter\", \"Solymos\", email = \"peter@analythium.io\", role = c(\"cre\", \"ctb\"), comment = c(ORCID = \"0000-0001-7337-1740\"))\n)",
  "Description": "Performs sensitivity analysis for publication bias in\nmeta-analyses (per Mathur & VanderWeele, 2020\n[<doi:10.31219/osf.io/s9dp6>]). These analyses enable\nstatements such as: \"For publication bias to shift the observed\npoint estimate to the null, 'significant' results would need to\nbe at least 30-fold more likely to be published than negative\nor 'nonsignificant' results.\" Comparable statements can be made\nregarding shifting to a chosen non-null value or shifting the\nconfidence interval. Provides a worst-case meta-analytic point\nestimate under maximal publication bias obtained simply by\nconducting a standard meta-analysis of only the negative and\n\"nonsignificant\" studies.",
  "License": "GPL-2",
  "URL": "https://github.com/mathurlabstanford/PublicationBias,\nhttps://mathurlabstanford.github.io/PublicationBias/",
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  "Date/Publication": "2023-08-18 19:48:17 UTC",
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