Statistical Methods for Survival Data Analysis
Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data. It features a wealth of new material, including coverage of marginal and random effect models for analyzing correlated censored or uncensored data as well as multiple comparisons in the comparison of K samples. It also offers expanded coverage of the Cox proportional hazards model; real-world examples focused on survival data in the biomedical sciences; and more.
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