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# Lifelines Kaplan Meier Starter
Use this skill to run a deterministic Kaplan-Meier survival analysis over a toy cohort and summarize per-group survival curves.
## What it does
- Loads a tiny cohort table with durations, events, and group labels.
- Fits one Kaplan-Meier curve per group with `lifelines`.
- Returns compact JSON with median survival times and survival probabilities at fixed time points.
- Optionally renders a PNG survival plot.
## When to use it
- You need a local starter for survival-analysis workflows.
- You want a verified template for grouped time-to-event data in Python.
## Example
```bash
slurm/envs/statistics/bin/python skills/clinical-biomedical-data-science/lifelines-kaplan-meier-starter/scripts/run_lifelines_kaplan_meier.py \
--input skills/clinical-biomedical-data-science/lifelines-kaplan-meier-starter/examples/toy_survival_cohort.tsv \
--summary-out scratch/lifelines/kaplan_meier_summary.json \
--png-out scratch/lifelines/kaplan_meier_plot.png
```
## Verification
- Skill-local tests: `python3 -m unittest discover -s skills/clinical-biomedical-data-science/lifelines-kaplan-meier-starter/tests -p 'test_*.py'`
- Repository smoke: `python3 -m unittest tests.smoke.test_phase25_agent_and_clinical_skills -v`
