Hi everyone Instats is pleased to be offering a 1-day seminar, Multiple Imputation by Chained Equations (MICE) <https://instats.org/seminar/multiple-imputation-by-chained-equations2>, on March 6 with UCL Professor Paola Zaninotto. This workshop tackles the persistent challenge of missing data by providing a hands-on approach to using MICE in R, equipping you with the skills to rigorously manage incomplete datasets. Designed for PhD students, academics, and professional researchers, the session covers everything from the theory behind missing data mechanisms and multiple imputation to detailed coding demonstrations, diagnostic tools, and practical exercises. By mastering MICE, you'll enhance your analytical capabilities, reduce bias, and increase the reliability of your ecological research findings.
Sign up today <https://instats.org/seminar/multiple-imputation-by-chained-equations2> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Director Institute for Statistical and Data Science instats.org <http://instats.org> Follow Instats:�Bluesky <https://bsky.app/profile/instats.bsky.social>_Linkedin <https://linkedin.com/company/instats1>_Facebook <https://www.facebook.com/InstatsTraining/> [[alternative HTML version deleted]]
_______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
