With the introduction of ChatGPT I was interested to learn how ChatGPT in pharmacometrics might be applied and how this will impact my code writing tasks, especially for doing pharmacokinetic …
The development of population PK (and PD) models enable the use of individual Bayesian dose optimization. One could use the included covariates to derive the dose of an individual but …
Acknowledgments The idea for this post was based upon the research by Dr. Lloyd Bridge, presented at the British Pharmacological Society meeting December 2018. and published in October 2020 in …
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 …
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 …
Shiny applications are a great way to show your complicated models in an interactive way. In recent years, many different examples have been published online showcasing a wide range of …
This two part series will show you how to create a simple pharmacometric Shiny application using the mrgsolve package in R. I think that Shiny applications are the most promising way …
Introduction Back in 2011, a very nice paper introducing the prediction corrected VPC was published by Bergstrand et al, titled: “Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Models” In …
It is difficult to grasp what non-linear mixed effects modelling software is actually doing when you start a run. Furthermore, the iteration prints that you see in the console (when …
