Empirical Likelihood Method in Survival Analysis: With R Implementation, Second Edition

Name: Empirical Likelihood Method in Survival Analysis: With R Implementation, Second Edition
Brand: CRC Press
SKU: 9781032986357
Price: 15397.0 INR
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by Mai Zhou

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ISBN13: 9781032986357
Binding: Hardcover
Subject: N/A
Publisher: CRC Press
Publisher Imprint: CRC Press
Publication Date: September 23, 2026
Pages: 356
Original Price: USD 150.0
Language: English
Edition: 2 ed
Item Weight: 699 grams
BISAC Subject(s): Probability & Statistics / General

About The Book

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 the University of Kentucky. He received his Ph.D. in Statistics from Columbia University.

About The Author

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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