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Author: MJvanEsdonk

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

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 …

NM dataset

Getting your NONMEM dataset to work – DATA ERROR summary

Getting your dataset in the right format to work with NONMEM can be a terrible job. Getting all your observations, doses, dosing times, etc. from different Excel sheets collected in …

VPC Tutorial

A step-by-step guide to prediction corrected visual predictive checks (VPC) of NONMEM models

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 …

Tutorials

Execute NONMEM models via the right-click menu (with user specified commands)

Wouldn’t it be nice to have this option when you click on a model file: It can be quite a hassle to start the execution of your NONMEM models. Luckily, …

Tutorials

Visualizing the NONMEM model fit in R using mrgsolve – with code

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 …

VPC Tutorial

A step-by-step guide to percentile visual predictive checks (VPC) of NONMEM models

This blog is an extension on the previously discussed scatter VPC. A percentile visual predictive check (VPC) can be used to compare the distribution of the observations with the simulated distributions …

Flowcharts

Population pharmacokinetic model development in NONMEM workflow

Comment Any suggestions or typo’s? Leave a comment or contact me at info@pmxsolutions.com!

Tutorials

Running NONMEM models and R-scripts from batch (.bat) files

When you start to use NONMEM, the first thing that you notice is that there is no graphical user interface (GUI) that comes with it. This can be a shock …

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Recent posts:

  • From Animals to Algorithms: Leveraging PK/PD Models to Drive the 3R’s in Pharmacology
  • Exploration of intra-individual variability in a multiple dose study during NCA
  • A pharmacometrician’s job interview: the case study
  • Learn about pharmacometrics and clinical pharmacology during your workout
  • 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?
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