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Related Questions
- What are the key differences between MICE and other imputation methods, and how do they impact the accuracy of missing value estimation?
- How can we evaluate the performance of MICE in reducing over-imputation of missing values, and what metrics can be used for this purpose?
- What are some common pitfalls to avoid when implementing MICE for imputing missing values in large datasets?
- Can MICE be used for imputing missing values in categorical variables, and if so, how does it handle the different types of categorical variables?
- How does MICE handle non-normality in the data, and what are some strategies for dealing with non-normal data when using MICE?
- Can MICE be used for imputing missing values in time-series data, and if so, how does it account for temporal dependencies?
- What are some best practices for selecting the number of imputations and the number of iterations in MICE to achieve optimal results?
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