Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Considering the Output from PROC MI

The video tutorial covers the process of multiple imputation, starting with an overview of the MRI procedure and model information. It then discusses the results of logistic regression and ROC curve analysis for each imputation. The MI analyze procedure is explained, focusing on the importance of relative efficiency in variance information. Finally, the video highlights factors affecting parameter estimates, such as the number of imputations and missing data, and provides guidance on determining the appropriate number of imputations.

Describe the role of the FCS model specification in the imputation process.

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Explain the importance of the relative efficiency column in the MI analyze procedure.

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What is the significance of the number of imputations in the context of parameter estimates?

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How does the amount of missing information affect the quality of parameter estimates?

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What should be considered when determining the number of imputations to perform?

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