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  "Package": "SurvMI",
  "Type": "Package",
  "Title": "Multiple Imputation Method in Survival Analysis",
  "Version": "0.1.0",
  "Authors@R": "c(person(\"Yiming\",\"Chen\", email = \"yimingc1208@gmail.com\",role = c(\"aut\", \"cre\")), person(\"John\", \"Lawrence\", role=\"ctb\"))",
  "Maintainer": "Yiming Chen <yimingc1208@gmail.com>",
  "Description": "In clinical trials, endpoints are sometimes evaluated with\nuncertainty. Adjudication is commonly adopted to ensure the\nstudy integrity. We propose to use multiple imputation (MI)\nintroduced by Robin (1987) <doi:10.1002/9780470316696> to\nincorporate these uncertainties if reasonable event\nprobabilities were provided. The method has been applied to Cox\nProportional Hazard (PH) model, Kaplan-Meier (KM) estimation\nand Log-rank test in this package. Moreover, weighted\nestimations discussed in Cook (2004)\n<doi:10.1016/S0197-2456(00)00053-2> were also implemented with\nweights calculated from event probabilities. In conclusion,\nthis package can handle time-to-event analysis if events\npresented with uncertainty by different methods.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.1.1",
  "Repository": "https://yimingc1208.r-universe.dev",
  "Date/Publication": "2020-10-19 23:01:59 UTC",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-13 07:34:55 UTC",
    "User": "root"
  },
  "Author": "Yiming Chen [aut, cre],\nJohn Lawrence [ctb]",
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      "page": "CoxMI",
      "title": "Cox PH model with MI method",
      "topics": [
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      "title": "Summary function for the Cox MI model",
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        "data_sim2"
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      "title": "Kaplan-Meier estimation with event uncertainty",
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      "title": "Log-rank test with events uncertainty",
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      "title": "Prints the test results output by the LRMI function",
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        "LRMI.summ"
      ]
    },
    {
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      ]
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  ],
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    "Matrix",
    "survival",
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