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Tag: R

Personal blog / Tutorials

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 …

Software

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 …

Software

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 …

Tutorials

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 …

Tutorials

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 …

Tutorials

Plotting PK/PD hysteresis with variability in R using ggplot

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 …

Tutorials

Simulating your pharmacometric model with parameter uncertainty in R

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 …

Tutorials

From publication to simulation: extracting information from literature models – Amikacin case study

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 …

Tutorials

Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 2

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 …

Tutorials

Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 1

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 …

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Recent posts:

  • Exploring the Capabilities of ChatGPT: A Step-by-Step Guide to Creating a Pharmacokinetic Analysis Shiny App
  • Using R Shiny applications in scientific research – Can you spot a drug effect on blinded pharmacodynamic data…?
  • Introduction to pharmacometrics and its importance in drug development
  • New shiny applications for PMX simulations!
  • Abbreviations and Terminology Used in Population Pharmacokinetics/Pharmacodynamic Models and in Pharmacometrics
  • Publishing the covariance matrix of population models. Why not?
  • Parallel fast-slow absorption – Modelling the Tortoise AND the Hare
  • Applying MAP Bayes estimation for therapeutic drug monitoring (TDM) in R with mrgsolve
  • Simulating the equi-dosing regimen region in R using mrgsolve – a bottom-up approach
  • How (not) to report pharmacokinetic data
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