As implied by the title, this book is intended for those already well-versed in survival models. An excellent introductory overview of core survival models and their underlying assumptions is given, but not in sufficient depth for a novice. Instead, it serves as a refresher for the advanced reader and sets the scene for the more advanced topics covered in chapters 3–6. These core survival models anchor the book, as each chapter explores the consequence of a violated assumption and resultant model extensions. This structure, along with the numerous interspersed examples, makes clear the motivation for each of the discussed models. While the topics considered are not comprehensive, there is good coverage of key elements often inadequately described in other resources, such as performing model diagnostics using residuals. This coverage is further complemented by numerous references for the interested reader to pursue further.
|Number of pages
|Journal of the Royal Statistical Society. Series A: Statistics in Society
|Published - 17 Apr 2023