Скачать или смотреть What Is Multiple Imputation In SAS? - The Friendly Statistician

What Is Multiple Imputation In SAS? In this informative video, we will discuss a powerful statistical technique for managing missing data known as multiple imputation. This method is particularly important for researchers who often encounter incomplete datasets due to various reasons, such as non-response or measurement errors. We will explain how multiple imputation works and how it generates multiple complete datasets, each containing different plausible values for the missing data points.

You will learn about the specific procedures in SAS that facilitate this process, including Proc MI, which creates the imputed datasets, and Proc MIANALYZE, which combines the results from the analyses of these datasets. This video will also highlight the advantages of multiple imputation over other methods, such as listwise deletion and single imputation, which can lead to biased results.

By the end of this video, you will have a clearer understanding of how multiple imputation can help maintain the integrity of statistical analyses and produce valid inferences. Join us for this comprehensive discussion, and don’t forget to subscribe to our channel for more informative content on measurement and data techniques.

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