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 …
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 …
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 …
Last time, we focused on the percentile VPC, which was already quite an improvement to the scatter VPC but one may wonder when looking at a percentile VPC, how certain …
There are many different ways to evaluate model performance, and sometimes it seems that there are even more ways to use a visual predictive check (VPC) for your population PK …
Model evaluation is a critical step in model development. A very good paper on how to evaluate continuous data pharmacometric models was published by Nguyen et al. in 2017, this …
