Modeling Survival Data Using Frailty Models Second Edition /

• Main Author: Hanagal, David D. (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Industrial and Applied Mathematics,
• Subjects: Statistics .; Computer simulation.; Statistics for Life Sciences, Medicine, Health Sciences.; Bayesian Inference.; Simulation and Modeling.
• Physical Description: XXIV, 295 p. 50 illus., 15 illus. in color. online resource.
• ISBN: 9789811511813
• ISSN: 2364-6837
• DOI: 10.1007/978-981-15-1181-3

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers.