Dear all, In our upcoming online course ?Handling Missing Data in R? (22?24 April ), we will explore how to diagnose missing data patterns and select appropriate analytical strategies. Participants will learn how to distinguish between different missingness mechanisms (MCAR, MAR, MNAR), visualise and assess missing data structures, and implement both traditional and modern imputation methods in R, including multiple imputation and iterative algorithms. Through practical examples and hands-on exercises, the course will provide a clear framework to help researchers choose and justify the most appropriate approach for their specific datasets and research goals. More information and registration details are available here: [ https://www.physalia-courses.org/courses-workshops/missing-data-with-r/ ]( https://www.physalia-courses.org/courses-workshops/missing-data-with-r/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info at physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ )
(Online course) Handling Missing Data in R -22–24 April
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