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A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R

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


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        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Acharya, Chayan"
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        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Hookers, Andrew C."
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      {
        "name": "Turkyilmaz, Gulbeyaz Yildiz"
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        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Jonsson, Siu"
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        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Karlsson, Mats O."
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    "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.", 
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      "pages": "83-93", 
      "title": "COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE", 
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