This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models wit

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascula

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully.

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life e