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  "Title": "Cauchy Weighted Joint Test for Pharmacogenetics Analysis",
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  "Authors@R": "c(\nperson(given=\"Hong\", family=\"Zhang\",\nemail=\"hzhang@wpi.edu\", role = c(\"aut\", \"cre\"),\ncomment=c(ORCID = \"0000-0002-8869-8671\"))\n)",
  "Description": "A flexible and robust joint test of the single nucleotide\npolymorphism (SNP) main effect and genotype-by-treatment\ninteraction effect for continuous and binary endpoints. Two\nanalytic procedures, Cauchy weighted joint test (CWOT) and\nadaptively weighted joint test (AWOT), are proposed to\naccurately calculate the joint test p-value. The proposed\nmethods are evaluated through extensive simulations under\nvarious scenarios. The results show that the proposed AWOT and\nCWOT control type I error well and outperform existing methods\nin detecting the most interesting signal patterns in\npharmacogenetics (PGx) association studies. For reference, see\nHong Zhang, Devan Mehrotra and Judong Shen (2022)\n<doi:10.13140/RG.2.2.28323.53280>.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
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  "Packaged": {
    "Date": "2026-09-23 07:10:04 UTC",
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  "Author": "Hong Zhang [aut, cre] (<https://orcid.org/0000-0002-8869-8671>)",
  "Maintainer": "Hong Zhang <hzhang@wpi.edu>",
  "Repository": "https://wpihongzhang.r-universe.dev",
  "Date/Publication": "2022-09-23 13:40:02 UTC",
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