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Tag: mrgsolve

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 …

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

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

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

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 …

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