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  "Title": "Visualization of Restricted Cubic Splines",
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  "Authors@R": "c(\nperson(\"Zhiqiang\", \"Nie\",     email = \"niezhiqiang@gdph.org.cn\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(\"ORCID = 0000-0001-7642-3286\", \"wechat = Biostatistics-SCI\")),\nperson(\"JunZhang\",        email = \"3219030654@stu.cpu.edu.cn\", role = \"ctb\"),\nperson(\"Chaolei\", \"Chen\",  email = \"15626049801@163.com\", role = \"ctb\")\n)",
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  "Description": "Restricted Cubic Splines were performed to explore the\nshape of association form of \"U, inverted U, L\" shape and test\nlinearity or non-linearity base on\n\"Cox,Logistic,linear,quasipoisson\" regression, and auto output\nRestricted Cubic Splines figures. rcssci package could\nautomatically draw RCS graphics with Y-axis \"OR,HR,RR,beta\".\nThe Restricted Cubic Splines method were based on Suli Huang\n(2022) <doi:10.1016/j.ecoenv.2022.113183>,Amit Kaura (2019)\n<doi:10.1136/bmj.l6055>, and Harrell Jr (2015,\nISBN:978-3-319-19424-0 (Print) 978-3-319-19425-7 (Online)).",
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