scholarly journals Semi-parametric frailty model for clustered interval-censored data

2016 ◽  
Vol 16 (5) ◽  
pp. 360-391 ◽  
Author(s):  
Aysun Çetinyürek Yavuz ◽  
Philippe Lambert
Keyword(s):  
Censored Data ◽  
Frailty Model ◽  
Interval Censored Data ◽  
Interval Censored ◽  
Parametric Frailty

Multiple frailty model for clustered interval-censored data with frailty selection

2015 ◽  
Vol 26 (3) ◽  
pp. 1308-1322 ◽  
Author(s):  
Chun Pan ◽  
Bo Cai ◽  
Lianming Wang
Keyword(s):  
Censored Data ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Progression Free Survival ◽  
Frailty Model ◽  
Hiv Infections ◽  
Interval Censored Data ◽  
Hazards Model ◽  
Interval Censored ◽  
Shared Frailty

Interval-censored time-to-event data often occur in studies of diseases where the symptoms of interest are not directly observable but require lab examinations for detection. Furthermore, the independence assumption among observations may not be valid if they are from clusters. Some methods have been developed for analysing clustered interval-censored data with a shared frailty to account for overall heterogeneity. In this paper, we propose a multiple frailty proportional hazards model, where we not only account for the baseline heterogeneity and effect variation across clusters for predictors, but also quantify the probabilities of the existence of such frailties. This proposed model will be especially useful for analysing multi-center randomised clinical trials for HIV, infections or progression-free survival in oncology studies.

The Cox-Aalen model for left-truncated and mixed interval-censored data

Statistics ◽  
2019 ◽  
Vol 53 (5) ◽  
pp. 1152-1167 ◽  
Author(s):  
Pao-sheng Shen ◽  
Li Ning Weng
Keyword(s):  
Censored Data ◽  
Interval Censored Data ◽  
Aalen Model ◽  
Interval Censored
Sign in / Sign up

Export Citation Format

Share Document