Joint model for recurrent event data with a cured fraction and a terminal event

2019 ◽  
Vol 62 (1) ◽  
pp. 24-33
Author(s):  
Yang‐Jin Kim
2014 ◽  
Vol 57 (2) ◽  
pp. 215-233 ◽  
Author(s):  
Chyong-Mei Chen ◽  
Ya-Wen Chuang ◽  
Pao-Sheng Shen

2010 ◽  
Vol 16 (4) ◽  
pp. 478-490 ◽  
Author(s):  
Liang Zhu ◽  
Jianguo Sun ◽  
Xingwei Tong ◽  
Deo Kumar Srivastava

2012 ◽  
Vol 31 (11-12) ◽  
pp. 1162-1176 ◽  
Author(s):  
Yassin Mazroui ◽  
Simone Mathoulin-Pelissier ◽  
Pierre Soubeyran ◽  
Virginie Rondeau

2014 ◽  
Vol 631-632 ◽  
pp. 86-89
Author(s):  
Huan Bin Liu ◽  
Tong Yin ◽  
Cong Jun Rao

With the development of biology, medical statistics and economy, the study of recurrent event data has made great progress. Many important statistical models of failed time and recurrence process are established. In this paper, we study a joint model based on multiplicable hazard function and proportional hazard function. Considering that the covariate is time-independent, and censoring is dependent on recurrent event processes and end times, we prove the consistency and asymptotic properties of the estimation under certain regularity conditions for this model.


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