Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values

Research output: Book/ReportBookResearchpeer-review

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health. The book includes mathematical detail which can be skipped by readers more interested in the practical examples. It is aimed at biostatisticians and at readers with an interest in the topic having a more applied background, such as epidemiology. This book builds on several courses the authors have taught on the subject. Key Features: • Intensity-based and marginal models • Survival data, competing risks, illness-death models, recurrent events • Includes a full chapter on pseudo-values • Intuitive introductions and mathematical details • Practical examples of event history data • Exercises Software code in R and SAS and the data used in the book can be found on the book’s webpage.

Original languageEnglish
PublisherCRC Press
Number of pages292
ISBN (Print)978-0-367-14002-1, 978-1-032-56869-0
ISBN (Electronic)978-0-429-02968-4
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© 2024 Taylor & Francis Group, LLC.

ID: 390450119