025. Handling Missing Data in Longitudinal Models

In this video we briefly discuss missingness in longitudinal data, introducing the concept of missingness, the ways of categorizing it, and provide a high-level overview for mechanisms to handle it. The specifics are not worked through in too much detail, as they are not the focus of this course, but more information is available on the course website if desired. Video Timeline 00:00 - Introduction 02:54 - Missing Longitudinal Data 05:47 - Classification of Missing Data Mechanisms 16:24 - Impacts of Missingness 21:31 - General Techniques for Handling Missingness 25:11 - Weighting Techniques 35:22 - Imputation Techniques