Authors:
- Provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood
- Includes R package, “frailtyHL” in CRAN, to fit various frailty models
- Reviews state-of-the-art statistical methods in likelihood theory and application
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Biology and Health (SBH)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Accelerated Failure Time Models
- Basic Likelihood Inference
- Classical Survival Analysis in Statistics
- Comparison of H-and Marginal likelihoods
- Correlated Frailties
- Correlated Survival Data
- Cox-PH Models
- Dispersion Frailty Models
- Extension of Inferential Procedures
- Frailty Models for Interval-Censored Data
- Frailty modelling for Missing Cause of Failure
- Genetic Mixed Models under LTRC
- Hazard and Survival Function
- Joint Survival Models
- Mixed linear Models with Censoring
- Mixed-Effect Survival Models
- Multi-Component Frailty Models
- Multilevel (Nested) Frailties
- Multilevel Mixed Models with Censoring
- Non-PH Frailty Models
Authors and Affiliations
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Department of Statistics, Pukyong National University, Busan, Korea (Republic of)
Il Do Ha
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Department of Biostatistics, University of Pittsburgh, Pittsburgh, USA
Jong-Hyeon Jeong
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Department of Statistics, Seoul National University, Seoul, Korea (Republic of)
Youngjo Lee
About the authors
Bibliographic Information
Book Title: Statistical Modelling of Survival Data with Random Effects
Book Subtitle: H-Likelihood Approach
Authors: Il Do Ha, Jong-Hyeon Jeong, Youngjo Lee
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-981-10-6557-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-6555-2Published: 26 January 2018
Softcover ISBN: 978-981-13-4901-0Published: 11 December 2018
eBook ISBN: 978-981-10-6557-6Published: 02 January 2018
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: XIV, 283
Number of Illustrations: 23 b/w illustrations
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs