Empirical Likelihood Method in Survival Analysis

With R Implementation, Second Edition

von Mai Zhou

356 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik
• ISBN: 9781032986357
• Sprache: Englisch
• Erscheinungsdatum: 23.09.2026
• Größe: 234 x 156 mm
• Verlag: Taylor & Francis Ltd (Sales)