Modeling Survival Data Using Frailty Models : Second Edition. 1st ed. 2019

種類:

電子ブック

責任表示:

by David D. Hanagal

出版情報:

Singapore : Springer Nature Singapore : Imprint: Springer, 2019

著者名:

• Hanagal, David D.
• SpringerLink (Online service)

シリーズ名:

Industrial and Applied Mathematics ;

ISBN:

9789811511813 [9811511810]    

注記:

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.
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.

ローカル注記:

学内専用E-BOOKS (local access only)