survival-analysis-tools

What problem does it solve?

This Skill automates the process of performing survival and time-to-event analyses, providing clear summaries and visualizations for censored data.

Core Features & Use Cases

• Kaplan-Meier Summaries: Generate survival probability tables and plots.
• Log-Rank Tests: Compare survival distributions between different groups.
• Cox Proportional Hazards Models: Fit regression models to identify factors influencing survival time and estimate hazard ratios.
• Use Case: Analyze patient survival data from a clinical trial to determine if a new treatment arm shows a statistically significant improvement in progression-free survival compared to the standard arm, while accounting for covariates like age and disease stage.

Quick Start

Use the survival-analysis-tools skill to generate Kaplan-Meier summaries and Cox proportional hazards models for the dataset in 'survival/nsclc.csv', using 'pfs_days' as the time column and 'progressed' as the event column.