scholarly journals Improving efficiency of parameter estimation in case-cohort studies with multivariate failure time data

Biometrics ◽  
2017 ◽  
Vol 73 (3) ◽  
pp. 1042-1052
Author(s):  
Ying Yan ◽  
Haibo Zhou ◽  
Jianwen Cai
2008 ◽  
Vol 27 (6) ◽  
pp. 922-936 ◽  
Author(s):  
Bee-Choo Tai ◽  
Bianca L. De Stavola ◽  
Victor de Gruttola ◽  
Val Gebski ◽  
David Machin

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
June Liu ◽  
Yi Zhang

The case-cohort design is an effective and economical method in large cohort studies, especially when the disease rate is low. Case-cohort design in most of the existing literature is mainly used to analyze the univariate failure time data. But in practice, multivariate failure time data are commonly encountered in biomedical research. In this paper, we will propose methods based on estimating equation method for case-cohort designs for clustered survival data. By introducing the event failure rate, three different weight functions are constructed. Then, three estimating equations and parameter estimators are presented. Furthermore, consistency and asymptotic normality of the proposed estimators are established. Finally, the simulation results show that the proposed estimation procedure has reasonable finite sample behaviors.


2009 ◽  
Vol 52 (6) ◽  
pp. 1113-1128 ◽  
Author(s):  
JianQing Fan ◽  
Yong Zhou ◽  
JianWen Cai ◽  
Min Chen

Sign in / Sign up

Export Citation Format

Share Document