General joint frailty model for recurrent event data with a dependent terminal event: Application to follicular lymphoma data

2012 ◽  
Vol 31 (11-12) ◽  
pp. 1162-1176 ◽  
Author(s):  
Yassin Mazroui ◽  
Simone Mathoulin-Pelissier ◽  
Pierre Soubeyran ◽  
Virginie Rondeau
Keyword(s):  
Follicular Lymphoma ◽  
Frailty Model ◽  
Recurrent Event ◽  
Terminal Event ◽  
Event Data ◽  
Recurrent Event Data

Two-stage estimation for multivariate recurrent event data with a dependent terminal event

2014 ◽  
Vol 57 (2) ◽  
pp. 215-233 ◽  
Author(s):  
Chyong-Mei Chen ◽  
Ya-Wen Chuang ◽  
Pao-Sheng Shen
Keyword(s):  
Recurrent Event ◽  
Terminal Event ◽  
Event Data ◽  
Recurrent Event Data ◽  
Two Stage ◽  
Stage Estimation

Regression analysis of multivariate recurrent event data with a dependent terminal event

2010 ◽  
Vol 16 (4) ◽  
pp. 478-490 ◽  
Author(s):  
Liang Zhu ◽  
Jianguo Sun ◽  
Xingwei Tong ◽  
Deo Kumar Srivastava
Keyword(s):  
Regression Analysis ◽  
Recurrent Event ◽  
Terminal Event ◽  
Event Data ◽  
Recurrent Event Data

scholarly journals Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions

2015 ◽  
Vol 26 (6) ◽  
pp. 2869-2884 ◽  
Author(s):  
Li-An Lin ◽  
Sheng Luo ◽  
Bingshu E Chen ◽  
Barry R Davis
Keyword(s):  
Recurrent Events ◽  
Method Development ◽  
Frailty Model ◽  
Recurrent Event ◽  
Lipid Lowering ◽  
Event Data ◽  
Recurrent Event Data ◽  
B Splines ◽  
Terminal Time ◽  
Event Times

Multi-type recurrent event data occur frequently in longitudinal studies. Dependent termination may occur when the terminal time is correlated to recurrent event times. In this article, we simultaneously model the multi-type recurrent events and a dependent terminal event, both with nonparametric covariate functions modeled by B-splines. We develop a Bayesian multivariate frailty model to account for the correlation among the dependent termination and various types of recurrent events. Extensive simulation results suggest that misspecifying nonparametric covariate functions may introduce bias in parameter estimation. This method development has been motivated by and applied to the lipid-lowering trial component of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial.

Smoothing Spline ANOVA Frailty Model for Recurrent Event Data

Biometrics ◽  
2011 ◽  
Vol 67 (4) ◽  
pp. 1330-1339 ◽  
Author(s):  
Pang Du ◽  
Yihua Jiang ◽  
Yuedong Wang
Keyword(s):  
Frailty Model ◽  
Recurrent Event ◽  
Smoothing Spline ◽  
Event Data ◽  
Recurrent Event Data ◽  
Smoothing Spline Anova
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