1 Ocak 2016 Dergi makalesi Açık Erişim

Acharya, Chayan; Hookers, Andrew C.; Turkyilmaz, Gulbeyaz Yildiz; Jonsson, Siu; Karlsson, Mats O.

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  <dc:creator>Acharya, Chayan</dc:creator>
  <dc:creator>Hookers, Andrew C.</dc:creator>
  <dc:creator>Turkyilmaz, Gulbeyaz Yildiz</dc:creator>
  <dc:creator>Jonsson, Siu</dc:creator>
  <dc:creator>Karlsson, Mats O.</dc:creator>
  <dc:date>2016-01-01</dc:date>
  <dc:description>Background and objective: Non-compartmental analysis (NCA) calculates pharmacokinetic (PK) metrics related to the systemic exposure to a drug following administration, e.g. area under the concentration time curve and peak concentration. We developed a new package in R, called ncappc, to perform (i) a NCA and (ii) simulation-based posterior predictive checks (ppc) for a population PK (PopPK) model using NCA metrics.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/54201</dc:identifier>
  <dc:identifier>oai:zenodo.org:54201</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 127 83-93</dc:source>
  <dc:title>A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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