Data Analysis with Competing Risks and Intermediate States

· Chapman & Hall/CRC Biostatistics Series Book 82 · CRC Press
Ebook
277
Pages
Eligible

About this ebook

This practical and thorough book explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results. Each chapter includes standard exercises; a software section on SAS, Stata, and R; and computer practicals that allow readers to practice with the techniques. The book's website provides the R code for the computer practicals along with other material.

About the author

Ronald B. Geskus is an associate professor at the Academic Medical Center in Amsterdam. He received a Ph.D. in mathematics from the Delft Technical University. His main research interests include competing risks and multi-state models, prediction of events based on time-updated marker values, and causal inference.

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