Ha I.D., Jeong J.-H., Lee Y. Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach

Springer Nature Singapore Pte Ltd., 2017. — 288 p. – (Statistics for Biology and Health) — ISBN: 9811065551.This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration.Classical Survival Analysis
H-Likelihood Approach to Random-Effect Models
Simple Frailty Models
Multicomponent Frailty Models
Competing Risks Frailty Models
Variable Selection for Frailty Models
Mixed-Effects Survival Models
Joint Model for Repeated Measures and Survival Data
Further Topics
Appendix: Formula for Fitting Fixed and Random Effects