Empirical Likelihood Method in Survival Analysis

With R Implementation, Second Edition

By: Mai Zhou

Write A Review

Hardcover | 23 September 2026 | Edition Number 2

At a Glance

Hardcover
374 Pages

Dimensions(cm)
23.4 x 15.6 x 2.24

Hardcover

RRP $252.00

$251.75

or 4 interest-free payments of $62.94 with

or

Ships in 5 to 7 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.