Modeling Survival Data Using Frailty Models
Second Edition
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Beschreibung
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.
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.
Discusses fundamental as well as advanced concepts of frailty models Covers frailty models for survival data with recent methodology and applications Analyzes datasets using the R statistical package, which is free and open access
Autor*in
David D. Hanagal
Themen in »Modeling Survival Data Using Frailty Models«
Survival Analysis Frailty Models Bayesian Inference Statistical Modelling Parametric Models Non-parametric Models Semi-parametric Models Estimation Methods Hypothesis Testing
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“This is an excellent book on survival models suitable for undergraduate students and physical and medical scientists who have a background on probability theory.” (Nirode C. Mohanty, zbMATH 1459.62003, 2021)
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