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This workshop introduces concepts of model assessment and model selection in Pumas.

It covers how:

• inspect models with the inspect function
• generate population and individual predictions with the predict function
• calculate model metrics with the metrics_table function
• plot goodness of fit (GoF) plots
• perform visual predictive checks (VPCs)

The following Julia files are provided:

1. 00-model_fits.jl: defines and fits a one- and a two-compartment IV models that will be used throughout the workshop
2. 01-inspect.jl: an overview of the inspect function
3. 02-predict.jl: covers how to use the predict function to do rich population and individual predictions
4. 03-metrics.jl: an overview of the different model metrics available in Pumas and the goodness_of_fit plotting function
5. 04-vpc.jl: covers how to run and plot VPCs

Prerequisites

We recommend users being familiar with NLME Modeling in Pumas, especially Populations, @model macro, and fit function.

The formal requirements are the NLME Modeling Workshop.

Schedule

Time (HH:MM)	Activity	Description
00:00	Setup	Download files required for the workshop
00:05	Model Fits	Walkthrough and fit of the competing one- and two-compartment models in 00-model_fits.jl
00:15	Model Inspection	Showcase 01-inspect.jl
00:25	Model Predictions	Showcase 02-predict.jl
00:35	Model Metrics	Showcase 03-metrics.jl
00:45	Visual Predictive Checks	Showcase 04-vpc.jl
00:55	Closing Remarks	See if there are any questions and feedback

Get in touch

If you have any suggestions or want to get in touch with our education team, please send an email to training@pumas.ai.

Authors

• Jose Storopoli - jose@pumas.ai

License

This content is licensed under Creative Commons Attribution-ShareAlike 4.0 International.