Skip to content
PMX Solutions
Menu
  • Home
  • Tutorials
    • Abbreviations
    • Visual predictive checks
    • R Related
    • Shiny Application
  • About

Category: Personal blog

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 …

Personal blog

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.

Personal blog

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 …

Personal blog / Tutorials

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 …

Personal blog

Celebrating 15.000 visitors by going open source!

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 …

Recent posts:

  • Exploring the Capabilities of ChatGPT: A Step-by-Step Guide to Creating a Pharmacokinetic Analysis Shiny App
  • 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
  • Inter-individual and/or inter-occasion variability: what can we quantify in our models and what is the impact on simulations
  • Calculating the power of covariates in population non-linear mixed effects models: the Monte Carlo Mapped Power approach
  • Flawed study design of parent-metabolite pharmacokinetic studies – the prove is in the pee
Copyright © 2023 PMX Solutions – part of Axiaal Data Analytics – Disclaimer – Privacy and cookie statement