Data Analysis with Competing Risks and Intermediate States

Rezensionen / Stimmen

I thoroughly recommend the book and am sure that reading it will prompt many young students and researchers to further pursue such models and their applications, possibly embarking on a career in biomedical research.
-Carl M. O'Brien, Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory, UK

"... a useful read for anyone wanting to apply competing risks or multi-state methods. The examples used throughout the book make the methods clinically meaningful for anyone wanting to simply grasp the concepts behind the methods, and the mathematical theory is rigorously described for those wanting a more in-depth understanding. The book is also supported by a website (http://www.competingrisks.org), which holds additional tips and R code to supplement the exercises at the end of each of the five chapters."
-Journal of Biopharmaceutical Statistics, 2015

"This book is excellent for applied statisticians working with time-to-event data."
-James J. Dignam, Department of Public Health Sciences, The University of Chicago

"An accessible introduction to the theory of competing risks and multistate models."
-Sandra Eloranta, Karolinska Institutet

"This book is about the particular context of competing risks and intermediate states. These risks or states have often been ignored in survival analysis but the situation is changing rapidly. The book is well written. Basic concepts of survival analysis are recalled and the reader is brought to the most complex concepts. Thus the book can be read both by beginners or experts in survival analysis. The reader can easily skip chapters that are not relevant according to his expertise and usefulness."

-International Society for Clinical Biostatistics