OpenClaw

survival-analysis-km

Generates Kaplan-Meier survival curves, calculates survival statistics (log-rank test, median survival time), and estimates hazard ratios for clinical and biological survival data analysis. Triggered when user requests survival analysis, Kaplan-Meier plots, time-to-event analysis, or asks about survival statistics in biomedical contexts.

aipoch-ai0 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install aipoch-ai/survival-analysis-km

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Survival Analysis (Kaplan-Meier)

Kaplan-Meier survival analysis tool for clinical and biological research. Generates publication-ready survival curves with statistical tests.

Features

Kaplan-Meier Curve Generation: Publication-quality survival plots with confidence intervals
Statistical Tests: Log-rank test, Wilcoxon test, Peto-Peto test
Hazard Ratios: Cox proportional hazards regression with 95% CI
Summary Statistics: Median survival time, restricted mean survival time (RMST)
Multi-group Analysis: Supports 2+ comparison groups
Risk Tables: Optional at-risk table below curves

Usage

Python Script

python scripts/main.py --input data.csv --time time_col --event event_col --group group_col --output results/

Arguments

Argument	Description	Required
`--input`	Input CSV file path	Yes
`--time`	Column name for survival time	Yes
`--event`	Column name for event indicator (1=event, 0=censored)	Yes
`--group`	Column name for grouping variable	Optional
`--output`	Output directory for results	Yes
`--conf-level`	Confidence level (default: 0.95)	Optional
`--risk-table`	Include risk table in plot	Optional

Input Format

CSV with columns:

Time column: Numeric, time to event or censoring
Event column: Binary (1 = event occurred, 0 = censored/right-censored)
Group column: Categorical variable for stratification

Example:

patient_id,time_months,death,treatment_group
P001,24.5,1,Drug_A
P002,36.2,0,Drug_A
P003,18.7,1,Placebo

Output Files

km_curve.png: Kaplan-Meier survival curve
km_curve.pdf: Vector version for publications
survival_stats.csv: Statistical summary (median survival, confidence intervals)
hazard_ratios.csv: Cox regression results with HR and 95% CI
`logrank_test.csv**: Pairwise comparison p-values
`report.txt**: Human-readable summary report

Tec...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/aipoch-ai/survival-analysis-km
Version: 1.0.0
Commit: 3423325ff6e4cec6aa7bd6dfd6991fc459a038fd
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Survival Analysis (Kaplan-Meier)

Kaplan-Meier survival analysis tool for clinical and biological research. Generates publication-ready survival curves with statistical tests.

## Features

- **Kaplan-Meier Curve Generation**: Publication-quality survival plots with confidence intervals
- **Statistical Tests**: Log-rank test, Wilcoxon test, Peto-Peto test
- **Hazard Ratios**: Cox proportional hazards regression with 95% CI
- **Summary Statistics**: Median survival time, restricted mean survival time (RMST)
- **Multi-group Analysis**: Supports 2+ comparison groups
- **Risk Tables**: Optional at-risk table below curves

## Usage

### Python Script

```bash
python scripts/main.py --input data.csv --time time_col --event event_col --group group_col --output results/
```

### Arguments

| Argument | Description | Required |
|----------|-------------|----------|
| `--input` | Input CSV file path | Yes |
| `--time` | Column name for survival time | Yes |
| `--event` | Column name for event indicator (1=event, 0=censored) | Yes |
| `--group` | Column name for grouping variable | Optional |
| `--output` | Output directory for results | Yes |
| `--conf-level` | Confidence level (default: 0.95) | Optional |
| `--risk-table` | Include risk table in plot | Optional |

### Input Format

CSV with columns:
- **Time column**: Numeric, time to event or censoring
- **Event column**: Binary (1 = event occurred, 0 = censored/right-censored)
- **Group column**: Categorical variable for stratification

Example:
```csv
patient_id,time_months,death,treatment_group
P001,24.5,1,Drug_A
P002,36.2,0,Drug_A
P003,18.7,1,Placebo
```

### Output Files

- `km_curve.png`: Kaplan-Meier survival curve
- `km_curve.pdf`: Vector version for publications
- `survival_stats.csv`: Statistical summary (median survival, confidence intervals)
- `hazard_ratios.csv`: Cox regression results with HR and 95% CI
- `logrank_test.csv**: Pairwise comparison p-values
- `report.txt**: Human-readable summary report

## Tec...

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