{ "_id": "6a327cea3efcd9bda438a35e", "Type": "Package", "Package": "tipr", "Title": "Tipping Point Analyses", "Version": "1.0.2.9000", "Authors@R": "c(\nperson(\"Lucy\", \"D'Agostino McGowan\", , \"lucydagostino@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6983-2759\")),\nperson(\"Malcolm\", \"Barrett\", , \"malcolmbarrett@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0299-5825\"))\n)", "Description": "The strength of evidence provided by epidemiological and\nobservational studies is inherently limited by the potential\nfor unmeasured confounding. We focus on three key quantities:\nthe observed bound of the confidence interval closest to the\nnull, the relationship between an unmeasured confounder and the\noutcome, for example a plausible residual effect size for an\nunmeasured continuous or binary confounder, and the\nrelationship between an unmeasured confounder and the exposure,\nfor example a realistic mean difference or prevalence\ndifference for this hypothetical confounder between exposure\ngroups. Building on the methods put forth by Cornfield et al.\n(1959), Bross (1966), Schlesselman (1978), Rosenbaum & Rubin\n(1983), Lin et al. (1998), Lash et al. (2009), Rosenbaum\n(1986), Cinelli & Hazlett (2020), VanderWeele & Ding (2017),\nand Ding & VanderWeele (2016), we can use these quantities to\nassess how an unmeasured confounder may tip our result to\ninsignificance.", "License": "MIT + file LICENSE", "URL": "https://r-causal.github.io/tipr/, https://github.com/r-causal/tipr", "BugReports": "https://github.com/r-causal/tipr/issues", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "Repository": "https://r-causal.r-universe.dev", "Date/Publication": "2024-02-06 20:55:06 UTC", "RemoteUrl": "https://github.com/r-causal/tipr", "RemoteRef": "HEAD", "RemoteSha": "ba218310fe20e23976e63d20608b791a81ea913d", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-17 10:51:23 UTC", "User": "root" }, "Author": "Lucy D'Agostino McGowan [aut, cre] (ORCID:\n),\nMalcolm Barrett [aut] (ORCID: )", "Maintainer": "Lucy D'Agostino McGowan ", "MD5sum": "c4d0817c51d940bb131f0f0416750d1a", "_user": 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