<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Diagnostic Ability Assessment with Right-Censored Data at a
Fixed Time t</dc:title>
  <dc:title>R package ThresholdROCsurvival version 1.2.1</dc:title>
  <dc:description>We focus on the diagnostic ability assessment of medical tests when the outcome of interest is the status (alive or dead) of the subjects at a certain time-point t. This binary status is determined by right-censored times to event and it is unknown for those subjects censored before t. Here we provide three methods (unknown status exclusion, imputation of censored times and using time-dependent ROC curves) to evaluate the diagnostic ability of binary and continuous tests in this context. Two references for the methods used here are Skaltsa et al. (2010) &lt;doi:10.1002/bimj.200900294&gt; and Heagerty et al. (2000) &lt;doi:10.1111/j.0006-341x.2000.00337.x&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: boot, InformativeCensoring, pROC, psych, survival,
ThresholdROC</dc:relation>
  <dc:creator>Sara Perez-Jaume &lt;spjaume@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Sara Perez-Jaume [aut, cre],
  Josep L Carrasco [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-03-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ThresholdROCsurvival</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ThresholdROCsurvival</dc:identifier>
</oai_dc:dc>
