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.

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...

Table of Contents:

• 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.