{ "_id": "6a16cb88acfb0bcc41d89bb4", "Package": "cwot", "Type": "Package", "Title": "Cauchy Weighted Joint Test for Pharmacogenetics Analysis", "Version": "0.1.0", "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. 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