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商品詳細
Empirical Likelihood Method in Survival Analysis : With R implementation, Second Edition. 2nd edition.
・ISBN 978-1-032-98635-7 hard GB£ 145.99
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| 著者・編者 | Zhou, Mai, |
|---|---|
| シリーズ | Chapman & Hall/CRC Biostatistics Series |
| 出版社 | (Chapman & Hall/CRC, UK) |
| 出版年月 | 2026 |
| ページ数 | 356 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-24118＞ |
解説
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.