Learn about pharmacometrics and clinical pharmacology during your workout
I love to listen to podcasts while I am working out or going for a walk. However, I must admit that some of these podcasts are just a background conversation …
Exploring the Capabilities of ChatGPT: A Step-by-Step Guide to Creating a Pharmacokinetic Analysis Shiny App
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 …
Using R Shiny applications in scientific research – Can you spot a drug effect on blinded pharmacodynamic data…?
Shiny applications are commonly used as a data dashboard, to automate a (data science) workflow, or to easily build a minimum viable product. Shiny is a great tool if you …
Introduction to pharmacometrics and its importance in drug development
Pharmacometrics is a rapidly growing field that combines pharmacology, mathematics, and statistics to optimize drug development and dosing. It is the science of quantifying drug effects in patients and developing …
New shiny applications for PMX simulations!
A range of new shiny applications have been published on this website to visualise pharmacokinetic profiles over time and better understand the use of population models. All applications can be …
Abbreviations and Terminology Used in Population Pharmacokinetics/Pharmacodynamic Models and in Pharmacometrics
This page provides an overview of the abbreviations and terminology commonly used in population PK/PD articles.
Publishing the covariance matrix of population models. Why not?
The information in the covariance matrix Everyone that has worked for longer than a day with NONMEM has a high probability of encountering error messages mentioning the covariance matrix (nonpositive …
Applying MAP Bayes estimation for therapeutic drug monitoring (TDM) in R with mrgsolve
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 …
Simulating the equi-dosing regimen region in R using mrgsolve – a bottom-up approach
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 …
How (not) to report pharmacokinetic data
The correct reporting of pharmacokinetic data can provide a tremendous amount of information on the clinical pharmacological characteristics of a drug. Small studies with a limited number of plasma samples …