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


Acharya C., Hookers A. C. , Turkyilmaz G. , Jonsson S., Karlsson M. O.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.127, pp.83-93, 2016 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 127
  • Publication Date: 2016
  • Doi Number: 10.1016/j.cmpb.2016.01.013
  • Title of Journal : COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Page Numbers: pp.83-93

Abstract

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.