A solid primer on survival analysis that covers the essentials: censored data, hazard functions, survival curves, and the standard models you'd actually use. It's structured as a reference for when you're working with time-to-event data and need to quickly recall what a hazard ratio means or which model fits your problem. The skill breaks down key concepts cleanly, though it looks like the common models section got cut off in the preview. This is one of those statistical techniques that shows up more often than you'd think, especially in healthcare, reliability engineering, and customer churn analysis. Good to have on hand if you're not a biostatistician but occasionally need to work with survival data.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill survival-analysis