In 2019 alone, PMXSolutions.com has been visited by over 15.000 visitors! In order to celebrate this overwhelming interest in the website, I have made the Shiny application for pharmacokinetic simulations …
A modellers challenge: getting data in front of you that don’t seem to fit any of the standard effect models and PKPD relationships. Especially in endocrinology, hormonal profiles are rarely …
In previous posts we referred exclusively to modelling using the top-down, population approach. However, in recent years, physiology-based, bottom-up approaches are getting more attention from both industry and regulators. Population …
The identification of hysteresis in a PK/PD relationship provides information on a possible delay between the plasma concentration and the effect. The identification of hysteresis can further assist us in …
Introduction Why do we assume symmetry in our concentration-effect relationship? I recently came across an article published by Piet Hein van der Graaf and Rik Schoemaker from 1999 on the …
As part of the series of tutorials on model validation, I will get you started on doing your own Normalized Prediction Distribution Errors (NPDE) analysis. As the VPC and bootstrap, …
The annual meetings of the American Society for Clinical Pharmacology & Therapeutics have been for me the most inspiring conferences that I visited. This year’s meeting did not disappoint either, …
Once you completed your model development, you now have a final model that fits your data the best and you’re now ready to validate your results. One way to internally …
How certain are we about the parameters that we estimate in our population model? Is that volume of distribution that NONMEM gave us really 10 liters with a clearance of …
When you are starting to learn about the basics of modeling & simulation, or when you are planning to start a new study with an already existing compound, it could …
