Scientific Missing Data Analysis

Missing data analysis

Missing data analysis skill. Missing data pattern detection, MCAR/MAR/MNAR classification, multiple imputation (MICE), sensitivity analysis, and missing data reporting.

Use This Skill When

• Missing data pattern detection.
• MCAR/MAR/MNAR classification.
• Multiple imputation (MICE).
• Sensitivity analysis.
• Missing data reporting.

Required Inputs

• Research objective, decision target, or hypothesis.
• Available data, source constraints, and domain assumptions.
• Required outputs, success metrics, and deadline or reproducibility constraints.

Workflow

1. Confirm scope, assumptions, and the exact artifact set to save.
2. Apply the narrowest domain method that answers the request with defensible evidence.
3. Save code, tables, figures, and intermediate outputs to files instead of chat-only output.