PK/PD modeling Internship Position Available (Mid-June to Mid-September)
After the workshop, the participants will have learned to write their own mechanistic QSP models, simulate models, graphically explore their data, and perform parameter estimation – with and without consideration of parameter variability. In addition, participants will have gained insight into how models can be analyzed to better inform the design of new experiments to increase mechanistic understanding and trust in the models.
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.