The aim of this book is to show how to analyze
survival data with the presence of recurrent events
applied to cancer settings. Throughout, the emphasis
is on presenting analysis of real data. Many of the
models discussed are those widely used in this area.
In addition, a new model specially designed for
analyzing cancer data is presented. Modern techniques
such as penalized likelihood approach, nonparametric
smoothig and bootstrapping are developed and used
when appropriate.

The author, jointly with other colleagues, has
written three R packages, freely available at...