cox-survival-analysis
CommunityCox survival analysis end-to-end.
AuthorMDhewei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Clinical researchers and data scientists need robust, reproducible Cox proportional hazards analyses that automate univariate and multivariate modeling, validate assumptions, and deliver publication-ready visuals.
Core Features & Use Cases
- Univariate Cox modeling for individual covariates to screen predictors.
- Multivariate Cox modeling with all specified covariates to estimate adjusted effects.
- Proportional hazards validation via Schoenfeld residuals and associated diagnostics.
- Risk scoring, Kaplan-Meier curves, and publication-ready forest plots.
- Outputs including univariate/multivariate results, PH test, risk scores, and survival curves for manuscripts.
Quick Start
Run the cox-survival-analysis script with a TSV dataset, specifying time, event, and covariates to perform end-to-end survival analysis.
Dependency Matrix
Required Modules
numpypandasmatplotlibscipy
Components
scripts
💻 Claude Code Installation
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Please help me install this Skill: Name: cox-survival-analysis Download link: https://github.com/MDhewei/bioinfor-claw/archive/main.zip#cox-survival-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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