Industrial and Applied Mathematics

Modeling Survival Data Using Frailty Models

Second Edition

Authors: Hanagal, David D.

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  • 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
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eBook 71,68 €
price for Italia (gross)
  • ISBN 978-981-15-1181-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 88,39 €
price for Italia (gross)
  • Atteso per: 23 gennaio 2020
  • ISBN 978-981-15-1180-6
  • Free shipping for individuals worldwide
About this book

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers.

About the authors

David D. Hanagal is an Honorary Professor at the Symbiosis Statistical Institute, Symbiosis International University, Pune, India. He was previously a professor at the Department of Statistics, Savitribai Phule Pune University, India. An elected fellow of the Royal Statistical Society, UK, he is an editor and on the editorial board of several respected international journals. He has authored two books and published over 125 research publications in leading journals. With 30 years of research experience, he is an expert on writing programs using SAS, R, MATLAB, MINITAB, SPSS, and SPLUS. He also has worked as a visiting professor at several universities in the USA, Germany, and Mexico, and delivered a number of talks at conferences around the globe. His research interests include statistical inference, selection problems, reliability, survival analysis, frailty models, Bayesian inference, stress–strength models, Monte Carlo methods, MCMC algorithms, bootstrapping, censoring schemes, distribution theory, multivariate models, characterizations, repair and replacement models, software reliability, quality loss index, and nonparametric inference.

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook 71,68 €
price for Italia (gross)
  • ISBN 978-981-15-1181-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 88,39 €
price for Italia (gross)
  • Atteso per: 23 gennaio 2020
  • ISBN 978-981-15-1180-6
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Modeling Survival Data Using Frailty Models
Book Subtitle
Second Edition
Authors
Series Title
Industrial and Applied Mathematics
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-1181-3
DOI
10.1007/978-981-15-1181-3
Hardcover ISBN
978-981-15-1180-6
Series ISSN
2364-6837
Edition Number
1
Number of Pages
XXIV, 295
Number of Illustrations
35 b/w illustrations, 15 illustrations in colour
Topics