Individual skill
decision-curve-analysis
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.
awesome-med-research-skills/Data Analysis/decision-curve-analysis/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,042
- Repository last updated
- Sep 17, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 bytesSKILL.mdcore · 11,163 byteseval_report_decision-curve-analysis_result.jsonasset · 13,292 bytesreferences/algorithm.mddoc · 2,675 bytesreferences/cli-guide.mddoc · 2,655 bytesreferences/troubleshooting.mddoc · 2,503 bytesscripts/functions.Rasset · 4,365 bytesscripts/main.Rruns · 5,515 bytesscripts/run_analysis.Rasset · 4,532 bytesscripts/utils.Rasset · 4,607 bytestests/data/dca_data.csvasset · 19,839 bytestests/run_smoke_test.Rruns · 1,939 bytestests/run_smoke_test.shruns · 127 bytes
Read excerpt
# 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."
