Authors:
- Discusses fundamental as well as advanced concepts of frailty models
- Covers frailty models for survival data with recent methodology and applications
- Analyzes datasets using the R statistical package, which is free and open access
Part of the book series: Industrial and Applied Mathematics (INAMA)
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Table of contents (14 chapters)
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Front Matter
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Basic Concepts in Survival Analysis
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Front Matter
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Shared Frailty Models for Survival Data
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Front Matter
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Correlated Frailty Models for Survival Data
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Front Matter
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Back Matter
About this book
Reviews
“This is an excellent book on survival models suitable for undergraduate students and physical and medical scientists who have a background on probability theory.” (Nirode C. Mohanty, zbMATH 1459.62003, 2021)
Authors and Affiliations
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Symbiosis Statistical Institute, Symbiosis International University, Pune, India
David D. Hanagal
About the author
Bibliographic Information
Book Title: Modeling Survival Data Using Frailty Models
Book Subtitle: Second Edition
Authors: David D. Hanagal
Series Title: Industrial and Applied Mathematics
DOI: https://doi.org/10.1007/978-981-15-1181-3
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-15-1180-6Published: 31 January 2020
Softcover ISBN: 978-981-15-1183-7Published: 31 January 2021
eBook ISBN: 978-981-15-1181-3Published: 16 November 2019
Series ISSN: 2364-6837
Series E-ISSN: 2364-6845
Edition Number: 1
Number of Pages: XXIV, 295
Number of Illustrations: 35 b/w illustrations, 15 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Bayesian Inference, Simulation and Modeling