{ "_id": "6a1049ebacfb0bcc41c9f93c", "Package": "rema", "Title": "Rare Event Meta Analysis", "Version": "0.0.1", "Authors@R": "c(\nperson(given = \"Brinley N.\",\nfamily = \"Zabriskie\",\nrole = c(\"aut\", \"cre\"),\nemail = \"zabriskie@stat.byu.edu\",\ncomment = c(ORCID = \"0000-0002-2621-7000\")),\nperson(given = \"Benjamin\",\nfamily = \"Kinard\",\nrole = c(\"aut\"),\nemail = \"benjaminjameskinard@gmail.com\"),\nperson(given = \"Chris\",\nfamily = \"Sypherd\",\nrole = c(\"aut\"),\nemail = \"sypherdchris@gmail.com\"),\nperson(given = \"Ryan\",\nfamily = \"Whetten\",\nrole = c(\"aut\"),\nemail = \"whettenrmw@gmail.com\"),\nperson(given = \"Madeleine\",\nfamily = \"Hays\",\nrole = c(\"ctb\"),\nemail = \"madeleine.hays7@gmail.com\"))", "Description": "The rema package implements a permutation-based approach\nfor binary meta-analyses of 2x2 tables, founded on conditional\nlogistic regression, that provides more reliable statistical\ntests when heterogeneity is observed in rare event data\n(Zabriskie et al. 2021 ). To adjust for\nthe effect of heterogeneity, this method conditions on the\nsufficient statistic of a proxy for the heterogeneity effect as\nopposed to estimating the heterogeneity variance. While this\nresults in the model not strictly falling under the\nrandom-effects framework, it is akin to a random-effects\napproach in that it assumes differences in variability due to\ntreatment. Further, this method does not rely on large-sample\napproximations or continuity corrections for rare event data.\nThis method uses the permutational distribution of the test\nstatistic instead of asymptotic approximations for inference.\nThe number of observed events drives the computation complexity\nfor creating this permutational distribution. Accordingly, for\nthis method to be computationally feasible, it should only be\napplied to meta-analyses with a relatively low number of\nobserved events. To create this permutational distribution, a\nnetwork algorithm, based on the work of Mehta et al. (1992)\n and Corcoran et al. (2001)\n, is employed using C++\nand integrated into the package.", "License": "GPL (>= 3) | file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.1.1", "RdMacros": "Rdpack", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-10 08:28:46 UTC", "User": "root" }, "Author": "Brinley N. Zabriskie [aut, cre]\n(), Benjamin Kinard\n[aut], Chris Sypherd [aut], Ryan Whetten [aut], Madeleine Hays\n[ctb]", "Maintainer": "Brinley N. 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