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Imputation Techniques for Missing Data by Phongsathorn Phlaisaithong is a document available to read on EtoBox.

What is Imputation Techniques for Missing Data about?

This document provides a gentle introduction to imputation techniques for handling missing data. It explains that simple techniques like complete case analysis and mean imputation often produce biased results, while single and multiple imputation can provide valid results. Single imputation replaces missing values with a single predicted value, while multiple imputation replaces with multiple predicted values to capture uncertainty. Both single and multiple imputation provide unbiased estimates if the data

Author

Phongsathorn Phlaisaithong

Language

EN