Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Evaluating Missing Data Patterns with SAS

The video tutorial explains how to use SAS code to evaluate missing data patterns without performing imputation. It introduces the PROC MI procedure, setting it up to analyze missing data patterns. The tutorial details how to interpret the results, identifying complete data and various missing data patterns. It also discusses how to distinguish between arbitrary and monotone data patterns by rearranging variables.

What is the purpose of the PROC MI procedure in SAS?

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What is the significance of setting N impute to 0 in the PROC MI procedure?

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What does it indicate if you see an 'X' in the missing data patterns?

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Describe the information provided by the missing data patterns table.

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How can you identify if a missing data pattern is arbitrary or monotone?

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