IntiQuan is seeking a modeling and simulation scientist to join our team in 2019
PAGE2019 Workshop on Population PKPD Modeling in R
On Tuesday, June 11, 2019, IntiQuan will present a full day hands-on workshop on PKPD/NLME modeling workflow from data exploration, parameter estimation, and reporting in the R environment using our IQR Tools R package. After the workshop, the participants will be able to set up their own PKPD/NLME workflow using IQR Tools to: explore the modeling dataset, perform parameter estimation in supported NLME tools, and evaluate parameter estimation results. Furthermore, participants will be able to generate a short report in Microsoft Word directly from the results generated in R.
PAGE2019 Workshop on QSP modeling in R
On Monday, June 10, 2019, IntiQuan will present a half-day workshop entitled “Using R and the IntiQuan R tools to support efficient QSP modeling, simulation and parameter estimation”. The workshop is designed as a hands-on tutorial. The different topics will be presented on slides and will be illustrated based on a realistic QSP example. For each topic, the participants will have the chance to reproduce the different modeling steps on their own resorting on a provided example model that is suitable for the workshop. Basic knowledge of writing R scripts is of advantage.
Enjoy the power of Open-Source NLME Modeling through the most user-friendly modeling interface available: IQRtools – now in Version 0.9.1, allowing to run the newest NLMIXR version in addition to NONMEM and MONOLIX.
IntiQuan has just co-authored a new publication, with Andrijana Radivojevic as first author: Data standards for model-informed drug development: an ISoP initiative, in Journal of Pharmacokinetics and Pharmacodynamics.
PAGE2018-Satellite-Workshop: Using R and Shiny to support efficient PK/PD and QSP modeling, parameter estimation, simulation, and reporting in Word
As R itself is pretty powerful, it does not come right out-of-the-box with support for the efficient conduct of pharmacometrics or QSP modeling and simulation activities. In this workshop we present R based approaches that enable you to efficiently perform pharmacometric modeling & simulation analyses.