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Exercises for this week

The following exercises are walkthroughs that take you through the process of drawing valid inferences from incomplete data sets with mice in R.

• 1. Ad Hoc methods and the mice algorithm
• 2. Convergence and pooling
• 3. Inspecting how the observed data and missingness are related

Discussion of Exercises

If you struggle with the exercises, feel free to ask us for any help. We also have the following video walkthroughs for these exercises. Disclaimer: these walkthroughs are a few years old and mice is work in progress. This means that the general chain of thought is still identical, but that individual results or imputed values may have changed because of improvements to the internal sampler functions.

• Exercise 1 walkthrough
• Exercise 2 walkthrough
• Exercise 3 walkthrough

Exercises for this week

The following exercises are walkthroughs that take you through the process of drawing valid inferences from incomplete data sets with mice in R.

• 4. Passive imputation and post-processing
• 5. Combining inferences
• 6. Generating synthetic data with high utility using mice

Discussion of Exercises

If you struggle with the exercises, feel free to ask us for any help. We also have the following video walkthroughs for these exercises. Disclaimer: these walkthroughs are a few years old and mice is work in progress. This means that the general chain of thought is still identical, but that individual results or imputed values may have changed because of improvements to the internal sampler functions.

• Exercise 4 walkthrough
• Exercise 5 walkthrough