1 Ocak 2016 Dergi makalesi Açık Erişim

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

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{
  "@context": "https://schema.org/", 
  "@id": 54201, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
      "name": "Acharya, Chayan"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
      "name": "Hookers, Andrew C."
    }, 
    {
      "@type": "Person", 
      "name": "Turkyilmaz, Gulbeyaz Yildiz"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
      "name": "Jonsson, Siu"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
      "name": "Karlsson, Mats O."
    }
  ], 
  "datePublished": "2016-01-01", 
  "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.", 
  "headline": "A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R", 
  "identifier": 54201, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R", 
  "url": "https://aperta.ulakbim.gov.tr/record/54201"
}