scientific-survival-clinical
CommunityAdvanced survival analysis for clinical trials.
Data & Analytics#power-analysis#survival-analysis#clinical-trials#safety-analysis#kaplan-meier#log-rank#cox-ph
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides a robust survival analysis and clinical statistics workflow for clinical trial data, enabling reproducible analysis of time-to-event outcomes and safety metrics.
Core Features & Use Cases
- Kaplan-Meier estimation with survival curves and log-rank comparison.
- Cox proportional hazards modeling to estimate hazard ratios and covariate effects.
- Power analysis and sample size calculations for trial design, including interim monitoring.
- Safety analysis metrics such as NNT and NNH.
Quick Start
Run the survival-analysis pipeline on your clinical-trial dataset to compute Kaplan-Meier curves, Cox PH results, power analyses, and interim monitoring support.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-survival-clinical Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-survival-clinical Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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