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  "Title": "Sensitivity Analysis for Multiple Biases in Meta-Analyses",
  "Description": "Meta-analyses can be compromised by studies' internal\nbiases (e.g., confounding in nonrandomized studies) as well as\nby publication bias. This package conducts sensitivity analyses\nfor the joint effects of these biases (per Mathur (2022)\n<doi:10.31219/osf.io/u7vcb>). These sensitivity analyses\naddress two questions: (1) For a given severity of internal\nbias across studies and of publication bias, how much could the\nresults change?; and (2) For a given severity of publication\nbias, how severe would internal bias have to be,\nhypothetically, to attenuate the results to the null or by a\ngiven amount?",
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  "Authors@R": "c(\nperson(\"Maya\", \"Mathur\", email = \"mmathur@stanford.edu\", role = c(\"aut\")),\nperson(\"Mika\", \"Braginsky\", email = \"mika.br@gmail.com\", role = c(\"aut\")),\nperson(\"Peter\", \"Solymos\", email = \"peter@analythium.io\", role = c(\"cre\", \"ctb\"), comment = c(ORCID = \"0000-0001-7337-1740\"))\n)",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/mathurlabstanford/multibiasmeta,\nhttps://mathurlabstanford.github.io/multibiasmeta/",
  "BugReports": "https://github.com/mathurlabstanford/multibiasmeta/issues",
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  "Repository": "https://mathurlabstanford.r-universe.dev",
  "Date/Publication": "2023-08-21 16:56:10 UTC",
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    "Date": "2026-09-30 08:30:06 UTC",
    "User": "root"
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