Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Sources, Patterns, and Mechanisms of Missing Data

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Sources, Patterns, and Mechanisms of Missing Data

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Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video discusses the sources, patterns, and mechanisms of missing data, highlighting outdated techniques like complete case analysis and mean imputation. It emphasizes the importance of understanding missing data to choose the right technique, such as multiple imputation using SAS. The video covers sources like income and medical research, patterns like generalized and structured, and mechanisms like MCAR, MAR, and MNAR, explaining their implications on data analysis.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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