Empirical Likelihood Method in Survival Analysis: With R Implementation, Second Edition (Chapman & Hall/CRC Biostatistics Series)

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 th