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  "Title": "Quantile-Optimal Treatment Regimes with Censored Data",
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  "Authors@R": "c(person(\"Yu\", \"Zhou\", , \"zhou0269@umn.edu\", role = c(\"cre\", \"aut\")),\nperson(\"Lan\", \"Wang\", , \"wangx346@umn.edu  \", role = \"ctb\"))",
  "Author": "Yu Zhou [cre, aut], Lan Wang [ctb]",
  "Maintainer": "Yu Zhou <zhou0269@umn.edu>",
  "Description": "Provides methods for estimation of mean- and\nquantile-optimal treatment regimes from censored data.\nSpecifically, we have developed distinct functions for three\ntypes of right censoring for static treatment using quantile\ncriterion: (1) independent/random censoring, (2)\ntreatment-dependent random censoring, and (3)\ncovariates-dependent random censoring. It also includes a\nfunction to estimate quantile-optimal dynamic treatment regimes\nfor independent censored data. Finally, this package also\nincludes a simulation data generative model of a dynamic\ntreatment experiment proposed in literature.",
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    "Date": "2026-06-08 06:44:38 UTC",
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  "Date/Publication": "2019-06-04 11:10:10 UTC",
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