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Related Questions
- How does multiple imputation compare to mean imputation in terms of preserving the variance of the data?
- What are the common scenarios where mean imputation is preferred over multiple imputation?
- Can you explain the concept of multiple imputation by chained equations (MICE) and its advantages over other imputation methods?
- In what situations is multiple imputation considered more appropriate than mean imputation for handling missing data in regression analysis?
- How does the number of imputations affect the accuracy of multiple imputation in handling missing data?
- What are the potential biases that can arise from using mean imputation for categorical variables with missing values?
- How can I evaluate the quality of imputed data using multiple imputation compared to mean imputation?
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