Data Analysis With Competing Risks and Intermediate States

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

List of contents

Basic Concepts. Competing Risks; Nonparametric Estimation. Intermediate Events; Nonparametric Estimation. Regression; Cause-Specific/Transition Hazard. Regression; Translation to Cumulative Scale. Epilogue. Bibliography. Appendix: Answers to Exercises. Index.

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.

Summary

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

Product details

• Authors: Ronald B Geskus, Ronald B. Geskus, Ronald B. (Academic Medical Center and Pub Geskus, Geskus Ronald B.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 18.12.2020
• EAN: 9780367738051
• ISBN: 978-0-367-73805-1
• No. of pages: 277
• Series: Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Sociology; Sociology, Epidemiology & medical statistics, SOCIAL SCIENCE / Sociology / General, MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, MEDICAL / Biostatistics, MEDICAL / Epidemiology, Biology, life sciences, Probability & statistics, Probability and statistics, Epidemiology and Medical statistics