{ "_id": "6ace33eea14063b82c3b1329", "Package": "ThresholdROCsurvival", "Type": "Package", "Title": "Diagnostic Ability Assessment with Right-Censored Data at a\nFixed Time t", "Version": "1.2.1", "Date": "2024-03-21", "Authors@R": "c(person(\"Sara\", \"Perez-Jaume\", email=\"spjaume@gmail.com\", role=c(\"aut\", \"cre\")),\nperson(c(\"Josep\", \"L\"), \"Carrasco\", role=\"aut\"))", "Description": "We focus on the diagnostic ability assessment of medical\ntests when the outcome of interest is the status (alive or\ndead) of the subjects at a certain time-point t. This binary\nstatus is determined by right-censored times to event and it is\nunknown for those subjects censored before t. Here we provide\nthree methods (unknown status exclusion, imputation of censored\ntimes and using time-dependent ROC curves) to evaluate the\ndiagnostic ability of binary and continuous tests in this\ncontext. Two references for the methods used here are Skaltsa\net al. (2010) and Heagerty et al.\n(2000) .", "License": "GPL (>= 2)", "LazyData": "TRUE", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 13:03:32 UTC", "User": "root" }, "Author": "Sara Perez-Jaume [aut, cre], Josep L Carrasco [aut]", "Maintainer": "Sara Perez-Jaume ", "Repository": "https://spjaume.r-universe.dev", "Date/Publication": "2024-03-22 02:30:52 UTC", "RemoteUrl": "https://github.com/cran/ThresholdROCsurvival", "RemoteRef": "HEAD", "RemoteSha": "8fa97934dc1425bf9e763f85a3d30a7142a1fb5a", "_user": "spjaume", "_type": "src", "_file": "ThresholdROCsurvival_1.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/bf8eb9d13d18ebe3156d0713d101a7b0c5ff782d13aa6a6b3189bb2aab3673ef", "_filesize": 156637, "_sha256": "bf8eb9d13d18ebe3156d0713d101a7b0c5ff782d13aa6a6b3189bb2aab3673ef", "_expires": "2027-01-21T13:36:44.000Z", "_created": "2026-10-13T13:03:32.000Z", "_published": "2026-10-13T13:36:46.688Z", "_buildurl": "https://github.com/r-universe/spjaume/actions/runs/38401647622", 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