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Author: MJvanEsdonk

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 …

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 …

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 …

Tutorials

Inter-individual and/or inter-occasion variability: what can we quantify in our models and what is the impact on simulations

Introduction We are not all the same. We know that there is variability originating from physiological differences in the pharmacokinetic and pharmacodynamic (PK/PD) processes between individuals in a population, also …

Tutorials

Calculating the power of covariates in population non-linear mixed effects models: the Monte Carlo Mapped Power approach

This post is based on the work of, among others, Camille Vong and the hands-on course about the MCMP given by Rob ter Heine and Elin Svensson. Read and cite …

Tutorials

Flawed study design of parent-metabolite pharmacokinetic studies – the prove is in the pee

How do we develop a ‘standard’ population PK model? We obtain blood/plasma concentrations over time of the drug of interest, in multiple individuals, and we apply our population NLME modelling …

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 …

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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
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