Overview
- Offers a short-course or one-semester material for students, biostatisticians, and for scientific researchers who demand applications of survival analysis
- Illustrated with real life examples
- Demonstrates the application of the statistical methods to several datasets
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Since Sir David Cox’s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.
Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.Reviews
“This book discusses some important parametric models as well as several semiparametric regression models. … The book is primarily aimed at students, biostatisticians, and researchers who are interested in the application of survival analysis and reliability theory in the areas of medicine, epidemiology, clinical trials, insurance, and social science. … The chapters include figures and examples for better understanding. The book is well referenced.” (Pooja Sethi, Doody’s Book Reviews, July, 2016)
Authors and Affiliations
About the authors
Dr H.-D. I. Wu received his Ph.D. from the National Taiwan University and is currently an associate professor of statistics at the National Chung-Hsing University of Taiwan.
Bibliographic Information
Book Title: The Cox Model and Its Applications
Authors: Mikhail Nikulin, Hong-Dar Isaac Wu
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-662-49332-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-662-49331-1Published: 19 April 2016
eBook ISBN: 978-3-662-49332-8Published: 11 April 2016
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: XIII, 124
Number of Illustrations: 7 b/w illustrations, 18 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Epidemiology