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Related Questions
- What are the key differences between multiple imputation by chained equations (MICE) and other multiple imputation methods?
- How does MICE handle missing data that is not missing at random (NMAR)?
- Can you provide a step-by-step example of how to implement MICE in a real-world dataset?
- What are the advantages and limitations of using MICE for missing data analysis?
- How does MICE compare to other methods for handling missing data, such as listwise deletion and mean imputation?
- What are some common pitfalls to avoid when implementing MICE in a statistical analysis?
- Can you discuss the role of variable selection and model specification in the MICE algorithm?
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