Empirical Likelihood Method in Survival Analysis: With R Implementation, Second Edition
暫譯: 生存分析中的經驗似然法：R 實作，第二版

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.