Cure Models: Methods, Applications, and Implementation

Cure Models: Methods, Applications, and Implementation is a comprehensive guide to modern cure models, covering estimation, inference, and software. It is useful for statistical researchers, graduate students, and practitioners in other disciplines, with real-world examples and detailed introduction to R packages and SAS macros.

Format: Paperback / softback
Length: 252 pages
Publication date: 26 September 2022
Publisher: Taylor & Francis Ltd

Cure Models: Methods, Applications, and Implementation stands as a groundbreaking work in the past 25 years, offering a comprehensive and systematic exploration of modern cure models. This invaluable resource caters to a diverse audience, including statistical researchers, graduate students, and practitioners from various disciplines, enabling them to gain a thorough understanding of contemporary cure model methodology and effectively apply suitable cure models to their applications. Prior knowledge of statistical modeling, survival models, and R and SAS for data analysis is assumed, providing a solid foundation for readers to delve into the intricacies of cure models.

The book is enriched with real-world examples drawn from clinical trials and population-based studies, providing a practical perspective on the application of cure models. Additionally, a comprehensive introduction to R packages, SAS macros, and WinBUGS programs is provided, enabling readers to employ these tools to fit various cure models. The main topics covered in this comprehensive text include:

The foundation of statistical estimation and inference of cure models for independent and right-censored survival data.

Cure modeling for multivariate, recurrent-event, and competing-risks survival data, addressing the complexities of these data structures.

Joint modeling with longitudinal data, leveraging the power of longitudinal data to enhance our understanding of cure models.

Statistical testing for the existence and difference of cure rates and sufficient follow-up, ensuring the validity and reliability of model results.

New developments in Bayesian cure models, advancing our understanding of these models through advanced computational techniques.

Applications of cure models in public health research and clinical trials, highlighting the importance of cure models in informing healthcare decision-making.

By presenting a comprehensive and systematic approach to cure models, Cure Models: Methods, Applications, and Implementation serves as a valuable resource for researchers, practitioners, and students seeking to advance their knowledge in this field. Its practical insights and comprehensive coverage make it an essential tool for anyone interested in applying cure models to real-world problems.

Weight: 412g
Dimension: 155 x 234 x 18 (mm)
ISBN-13: 9780367690748