A practical introduction to multiple imputation of missing data with the R-package mice workshop

Join our workshop on A practical introduction to multiple imputation of missing data with the R-package mice, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: A practical introduction to multiple imputation of missing data with the R-package mice

Date: Thursday, January 22nd, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) 

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 has contributed to the R package mice and is the author of the densityratio package.

Description: Missing data poses 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 substantial 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 will 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 equipped to address common missing-data problems using the mice package in R.

Minimal registration fee: 20 euro (or 20 USD or 800 UAH)

Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registration

How can I register?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.

How can I sponsor a student?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.

Looking forward to seeing you during the workshop!