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Join our workshop on A practical introduction to multiple imputation of missing data with the R package mice, which is part of our Workshops for Ukraine series!
Here’s some more information:
Title: A practical introduction to multiple imputation of missing data with the R package mice
Date: Thursday January 22, 6:00 PM – 8:00 PM CET (Rome, Berlin, Paris time zone)
Speaker: Thom Volker is a PhD candidate in Methodology and Statistics at Utrecht University. His research focuses on missing data, data privacy and Bayesian statistics. He contributed to the R package mice and is the author of the densityratio package.
Description: Missing data is a challenge in many applied research settings. Although ad hoc methods such as listwise deletion or mean imputation are easy to implement, they can introduce significant bias and lead to inefficient or invalid inferences. Multiple imputation offers a principled alternative that often improves statistical power and reduces bias.
In this session you will learn when multiple imputation is appropriate and how to implement it effectively. We cover essential topics such as specifying imputation models, evaluating the quality of imputations, and analyzing multiply imputed data in both inferential and predictive settings. By the end of the session, you will be able to address common missing data issues using the mouse package in R.
Minimum registration fee: 20 euros (or 20 USD or 800 UAH)
Please note that registration confirmation will be sent to all registered participants 1 day before the workshop and not immediately after registration
How can I register?
- Save your donation receipt (after the donation has been processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill the registration formwhere you attach a screenshot of a donation receipt (attach the screenshot of the donation receipt emailed to you instead of the page you see after the donation).
If you are not interested in attending, you can also contribute by sponsoring a student’s participation, who can then participate for free. If you choose to sponsor a student, all proceeds also go directly to organizations working in Ukraine. You can sponsor a specific student or you can leave it up to us so that we can allocate the sponsored spot to students who have signed up for the waiting list.
How can I sponsor a student?
- Save your donation receipt (after the donation has been processed, there is an option to enter your email address on the website to which the donation receipt is sent)
- Fill the sponsorship formattaching the screenshot of the donation receipt (attach the screenshot of the donation receipt emailed to you instead of the page you see after the donation). You can indicate whether you want to sponsor a specific student or we can allocate this place ourselves to the students on the waiting list. You can also indicate whether you would prefer that we give priority to students from developing countries when allocating the place(s) you sponsor.
If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Please note that joining the waitlist does not guarantee participation).
You can also find more information about this workshop series, a schedule of our future workshops, and a list of our past workshops, recordings and materials of which you can obtain. here.
I look forward to seeing you during the workshop!
A practical introduction to multiple imputation of missing data with the R package mouse workshop was first posted on December 22, 2025 at 9:04 am.
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