Modeling survival data using frailty models

• 作者： Hanagal, David D., author.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Industrial and applied mathematics.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 版本：Second edition.
• 叢書名： Industrial and applied mathematics,
• 主題： Survival analysis (Biometry)--Mathematical models. , Statistics for Life Sciences, Medicine, Health Sciences. , Bayesian Inference. , Simulation and Modeling.
• ISBN： 9789811511813 (electronic bk.) 、 9789811511806 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 1 Introduction to Survival Analysis -- 2 Some Parametric Models -- 3 Nonparametric and Semiparametric Models -- 4 The Frailty Concept -- 5 Various Frailty Models -- 6 Estimation Methods for Shared Frailty Models -- 7 Analysis of Survival Data in Shared Frailty Models -- 8 Tests of Hypotheses in Frailty Models -- 9 Shared Gamma Frailty Models -- 10 Shared Gamma Frailty Models Based on Reversed Hazard -- 11 Bivariate Frailty Models and Estimation Methods -- 12 Correlated Frailty Models -- 13 Correlated Gamma and Inverse Gaussian Frailty Models -- 14 Correlated Gamma Frailty Models Based on Reversed Hazard.
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• 摘要註: 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.
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