likelihood methods in survival analysis: with r examples

Provides an overview of the methodology and applications of likelihood methods in survival analysis. It covers all the important topics, including competing risks and joint models. It includes lots of examples to illustrate the methods, and R code for their implementation. A supplementary R package includes all code and data.

Jun Ma, School of Mathematical and Physical Sciences, Macquarie University, North Ryde, Australia

Annabel Webb, School of Mathematical and Physical Sciences, Macquarie University, North Ryde, Australia

Malcolm Hudson, School of Mathematical and Physical Sciences, Macquarie University & NHMRC Clinical Trial Centre, University of Sydney, Sydney, Australia