1. Event history and survival data -- 2. Single sample data -- 3. Cox regression -- 4. Poisson regression -- 5. More on Cox regression -- 6. Parametric models -- 7. Multivariate survival models -- 8. Competing risks models -- 9. Causality and matching -- A. Basic statistical concepts -- B. Survival distributions -- C.A brief introduction to R -- D. Survival packages in R
Summary
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times
