Models for Multi-State Survival Data

This book offers a comprehensive exploration of multi-state models, providing readers with a robust statistical framework tailored for analyzing longitudinal data. Written by experts Andersen and Ravn, it delves into the complexities of multi-state survival analysis, detailing how this methodology can be applied to various fields such as medicine, social sciences, and beyond. The authors emphasize the relevance and adaptability of these models, illustrating their utility in understanding the progression of subjects through different states over time.

Through a blend of theoretical insights and practical examples, the work guides practitioners in designing, analyzing, and interpreting multi-state survival data. The authors meticulously discuss various aspects, including the transition between different states and how to handle various complications encountered in real-world datasets. Readers are encouraged to deepen their understanding of statistical science while gaining the skills necessary to conduct their analyses confidently and effectively.