MICE

MICE

@amices.bsky.social

Home of the #RStats imputation package {mice}. Amices is a place for people interested in solving missing data problems. See https://amices.org & https://github.com/amices. Posts by @oberman.bsky.social

23 followers4 following4 posts

MICE
@amices.bsky.social

What if you want to predict the missing values instead of doing inference with incomplete data?

Hanne Oberman@oberman.bsky.social

If you're not interested in the uncertainty due to missingness, then just use a non-Bayesian (or even non-stochastic) @amices.bsky.social method, like "norm.predict" or "pmm" with only 1 donor

MICE
@amices.bsky.social

"mice: the only method here that carries imputation uncertainty into the model. Use it whenever the output is an estimate, a confidence interval, or a p-value, the typical medical or epidemiological analysis. Ten years on, it is still the right default for inference."

DataScience+@datascienceplus.bsky.social

Imputing Missing Data in R: mice, missRanger, and VIM Compared #rstats

datascienceplus.comImputing Missing Data in R: mice, missRanger, and VIM ComparedAlmost ten years ago we published two tutorials on imputing missing data with the mice package (and a simpler walkthrough here). They are still among the most-read posts on this…

MICE reposted

Thom Volker
@thomvolker.bsky.social

Cool stuff! Florian van Leeuwen and I implemented a prediction function in the #mice package that allows the incorporation of missing data uncertainty in a prediction interval. The `predict_mi()` function is available in the current development version: github.com/amices/mice #Rstats #statsky

MICE
@amices.bsky.social

📊 Struggling with missing data in your analyses? Join our 4-day course 'Advanced Techniques for Handling Missing Data' at @utrechtuniversity.bsky.social! 📅 24–27 Mar 2025 📍 Utrecht, NL 💶 €730 | 1.5 ECTS Learn cutting-edge imputation with {mice} in R. Apply by March 10th! #RStats #DataScience

utrechtsummerschool.nlAdvanced Techniques for Handling Missing Data in analysis and prediction workflows | Utrecht Summer SchoolThis 4-day course provides cutting-edge techniques for addressing missing data problems, focusing on the intersection of statistical theory and modern machine learning workflows.

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