The Missing at Random (MAR) assumption is a key concept in statistical analysis that implies missing data is related to the observed data but not the missing data itself.
An in-depth exploration of the Missing Completely at Random (MCAR) assumption in statistical analysis, including historical context, types, key events, and comprehensive explanations.
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