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missing-data-handling

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Diagnose missing data patterns and apply appropriate imputation strategies

skills/analysis/wrangling/missing-data-handling/SKILL.md

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# Missing Data Handling

A skill for diagnosing missing data mechanisms, selecting appropriate imputation strategies, and conducting sensitivity analyses. Covers everything from simple imputation to multiple imputation and modern machine learning approaches.

## Missing Data Mechanisms

### Rubin's Classification

Understanding the mechanism determines the appropriate handling strategy:

| Mechanism | Definition | Example | Implication |
|-----------|-----------|---------|-------------|
| MCAR | Missingness unrelated to any variable | Lab sample randomly contaminated | Listwise deletion is unbiased (but loses power) |
| MAR | Missingness related to observed variables | Higher-income respondents skip income question less | Multiple imputation appropriate |