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 …
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 …
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 …
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 …
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 …
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 …
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, …
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 …
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 …
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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 …