Decision Curve Analysis
Use when evaluating the clinical utility of a binary prediction model from a single...
Install
npx skills add aipoch/medical-research-skills --skill decision-curve-analysis -g -a claude-code -y- Repository
- aipoch/medical-research-skills2k
- Category
- Engineering
- Updated
- 2mo ago
- License
- MIT
- Context cost
- Mediumabout 2,683 tokens
- Runs scripts
- Yes, review before use
What it does
Use when evaluating the clinical utility of a binary prediction model from a single clinical CSV file by fitting a logistic decision-curve model, plotting decision and clinical-impact curves, and exporting summary outputs. NOT for: survival calibration, ROC-only discrimination analysis, nomogram construction, or time-to-event outcomes.
Decision Curve Analysis
When to Use
Use this skill when you need to:
- evaluate whether a binary prediction model adds clinical net benefit across threshold probabilities;
- visualize decision curves and clinical-impact curves from a clinical cohort;
- export an auditable DCA model object together with summary text and PDFs.
Typical user requests:
- "Run decision-curve analysis on this binary outcome and risk-score dataset."
- "Generate DCA and clinical-impact plots for this prediction model."
- "Compare net benefit across thresholds for this case-control cohort."
When Not to Use
Do not use this skill for:
- time-to-event or survival outcomes;
- ROC-only discrimination analysis without decision-curve outputs;
- nomogram construction or calibration-curve analysis;
- multiclass outcomes or non-binary endpoints.
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md | Statistical methods and formulas |
| Need to run analysis | scripts/main.R | Get the complete command |
| Encounter errors | references/troubleshooting.md | Find solutions |
| Need CLI examples | references/cli-guide.md | Parameter usage examples |
Usage
Rscript scripts/main.R \
--data_file ./clinical_dca_data.csv \
--outcome_col fustat \
--predictor_col riskScore \
--output_dir ./output/
