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025. Handling Missing Data in Longitudinal Models
Автор: Dr. Dylan Spicker
Загружено: 2022-01-24
Просмотров: 4467
Описание:
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
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