lifelines
CommunityMaster survival analysis
Education & Research#survival analysis#time-to-event#lifelines#kaplan-meier#censored data#cox regression
Authortondevrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies complex survival analysis, enabling users to accurately model time-to-event data, even with censored observations.
Core Features & Use Cases
- Survival Analysis: Analyze time-to-event data common in clinical trials, epidemiology, and reliability engineering.
- Censored Data Handling: Properly accounts for data where the event of interest has not yet occurred by the study's end.
- Risk Factor Identification: Utilizes Cox Proportional Hazards models to identify factors influencing event occurrence.
- Use Case: A medical researcher can use this Skill to analyze patient survival data, determine the median survival time, and identify if a new drug significantly impacts patient longevity compared to a placebo.
Quick Start
Use the lifelines skill to fit a Kaplan-Meier survival curve to the 'days' and 'died' columns in the dataframe.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: lifelines Download link: https://github.com/tondevrel/scientific-agent-skills/archive/main.zip#lifelines Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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