Which alternative method might be used for missing data that allows for the analyst's discretion?
Understand the Problem
The question is asking about alternative methods for handling missing data in analysis, specifically those methods that allow the analyst to exercise discretion. It presents several options and seeks to identify which one fits this criterion.
Answer
Multiple imputation
Multiple imputation can be used for missing data while allowing the analyst discretion in choosing suitable methods and assumptions for the data set.
Answer for screen readers
Multiple imputation can be used for missing data while allowing the analyst discretion in choosing suitable methods and assumptions for the data set.
More Information
Multiple imputation involves replacing missing values with a set of plausible values, creating multiple complete data sets. The variability among these datasets reflects uncertainty due to missing data.
Tips
A common mistake is to rely on a single imputation method without considering the assumptions and impact on the analysis. It's important to choose the method carefully based on the nature of the data and missingness.
Sources
- Missing Data and Multiple Imputation - Columbia University - publichealth.columbia.edu
- Solving Missing Data Problems By Multiple Imputations - Medicaid - medicaid.gov
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