Zhou | Empirical Likelihood Method in Survival Analysis | Buch | 978-1-032-98635-7 | www2.sack.de

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Chapman & Hall/CRC Biostatistics Series

Zhou

Empirical Likelihood Method in Survival Analysis

With R implementation, Second Edition
2. Auflage 2026
ISBN: 978-1-032-98635-7
Verlag: Taylor & Francis Ltd

With R implementation, Second Edition

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Chapman & Hall/CRC Biostatistics Series

ISBN: 978-1-032-98635-7
Verlag: Taylor & Francis Ltd


This book systematically covers empirical likelihood methods in most important topics in survival analysis: the Kaplan–Meier and the Nelson–Aalen estimator, the log rank test, the Cox proportional hazards model and the accelerated failure time models. In addition, it also covers an extension of the Cox model–the short term/long term hazard ratio model of Yang and Prentice. Finally, empirical likelihood methods with current status data or type I interval censored data are investigated: estimation/test for the mean/hazard/probability and regression models are discussed.

The author of this book is also the author of several R packages for empirical likelihood calculations with survival data. Every topic discussed gets immediately put into action with R code in examples that users can replicate and experiment with.

- Includes more than 70 examples illustrating the use of empirical likelihood, many with real data.

- Provides complete R computational codes that reader can replicate the results in the book.

- Includes over 80 exercise problems making it suitable to be adopted as a textbook.

- Newly added materials now cover more general types of censored survival data.

Mai Zhou is a professor emeritus at University of Kentucky. He received his Ph.D. degree in Statistics from Columbia University.

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Weitere Infos & Material


Preface to First Edition Preface to Second Edition Author 1 Introduction 2 Empirical Likelihood for Linear Functionals of Hazard 3 Empirical Likelihood for Linear Functionals of Cumulative Distribution Function 4 Empirical Likelihood Analysis of the Cox Model 5 Empirical Likelihood Analysis of Accelerated Failure Time Models 6 Computation of Empirical Likelihood Ratio with Right Cen-sored Data 7 Empirical Likelihood: Some Applications 8 Optimality of Empirical Likelihood for Right Censored Data 9 Miscellaneous 10 Empirical Likelihood for Two Independent Samples 11 Current Status Data Bibliography Index


Mai Zhou is a professor emeritus at University of Kentucky. He received his Ph.D. degree in Statistics from Columbia University.



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