Dergi makalesi Açık Erişim
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.
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.
| Dosya adı | Boyutu | |
|---|---|---|
|
bib-da7417a5-fb82-4454-9402-d7c1d2f11ebe.txt
md5:a3e86df7b97bdca7ae2172a867af3019 |
240 Bytes | İndir |
| Görüntülenme | 70 |
| İndirme | 13 |
| Veri hacmi | 3.1 kB |
| Tekil görüntülenme | 62 |
| Tekil indirme | 13 |
Alıntı yap
Acharya, C., Hookers, A. C., Turkyilmaz, G. Y., Jonsson, S. ve Karlsson, M. O. (2016). A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 127, 83–93. doi:10.1016/j.cmpb.2016.01.013