Authors:
- Summaries and exercises included in every chapter
- Extensive appendices provided on probability, stochastic processes, and simulating data
- Many of the advances of the last ten years, not covered elsewhere, are given prominence in this book
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (11 chapters)
-
Front Matter
-
Back Matter
About this book
This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics. The framework is that of proportional and non-proportional hazards models; a structure that is broad enough to enable the recovery of a large number of established results as well as to open the way to many new developments. The emphasis is on concepts and guiding principles, logical and graphical. Formal proofs of theorems, propositions and lemmas are gathered together at the end of each chapter separate from the main presentation.
The intended audience includes academic statisticians, biostatisticians, epidemiologists and also researchers in these fields whose focus may be more on the applications than on the theory. The text could provide the basis for a two semester course on survival analysis and, with this goal in mind, each chapter includes a section with a range of exercises as a teaching aid for instructors.
Authors and Affiliations
-
Department of Statistical Science, University College London, London WC1E 6BT, UK
John O'Quigley
About the author
Bibliographic Information
Book Title: Survival Analysis
Book Subtitle: Proportional and Non-Proportional Hazards Regression
Authors: John O'Quigley
DOI: https://doi.org/10.1007/978-3-030-33439-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-33438-3Published: 27 April 2021
Softcover ISBN: 978-3-030-33441-3Published: 28 April 2022
eBook ISBN: 978-3-030-33439-0Published: 27 April 2021
Edition Number: 1
Number of Pages: XVI, 475
Number of Illustrations: 47 b/w illustrations, 13 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Probability Theory and Stochastic Processes, Applied Statistics, Data Structures, Bayesian Inference