Models for Multi-State Survival Data (Chapman & Hall/CRC Texts in Statistical Science)
by Per Kragh Andersen, Henrik Ravn
Models for Multi-State Survival Data provides essential frameworks for analyzing survival processes involving multiple states. Authored by Per Kragh Andersen and Henrik Ravn, this Chapman & Hall/CRC text in statistical science covers theoretical models, estimation methods, and applications, making it indispensable for statisticians in health sciences and beyond.
About This Book
This text from Chapman & Hall/CRC explores models tailored for multi-state survival data, a key area in statistical science. Authored by Per Kragh Andersen and Henrik Ravn, it delivers foundational and advanced approaches to modeling transitions between states in survival analysis.
The book addresses the theoretical underpinnings and practical applications of these models, aiding statisticians in interpreting data from fields like medicine and epidemiology where outcomes involve multiple stages.
With a focus on rigorous statistical methods, it serves as a vital resource for understanding and implementing multi-state processes in research and analysis.
Readers will find detailed discussions on estimation techniques and model validation, enhancing their ability to handle real-world survival data complexities.
Reviews
No reviews yet. Be the first to review this book!