Survival Analysis Using SAS: A Practical Guide. Second Edition By Paul D. Allison

摘要

The second edition of Survival Analysis Using SAS: A Practical Guide is a terrific entry-level book that provides information on analyzing time-to-event data using the SAS system. In the 15 years since the first edition of the book was published, statistical methods for survival analysis and the SAS system have both evolved. For instance, much progress has been made in the application of Bayesian methods in survival analysis (1). By addressing such changes, the new edition offers a highly appreciated update.This book has several strengths. First, it is well-organized and quite clearly written. Second, the material is thorough and accurate. For example, the author does not gloss over challenging facets of survival analysis, such as left truncation, tied event times, and time-dependent covariates. Rather, he discusses the complexity of such issues with characteristic clarity. Third, this book provides extensive SAS code and examples that can be easily adapted for use in epidemiologic research settings. In addition, the author provides detailed explanations of SAS output. Importantly, he includes thorough descriptions and examples of how to graphically visualize data summaries using SAS and also includes the relevant SAS code or self-contained macros.The structure of this book is as follows. In chapters 1 and 2, the basic foundations of survival data and methods are provided. They are followed by nonparametric comparisons of survival curves in chapter 3.