A joint model of recurrent events and a terminal event with a nonparametric covariate function

2011 ◽  
Vol 30 (22) ◽  
pp. 2683-2695 ◽  
Author(s):  
Yu Zhangsheng ◽  
Lei Liu
Keyword(s):  
Recurrent Events ◽  
Joint Model ◽  
Terminal Event

Joint model for left-censored longitudinal data, recurrent events and terminal event: Predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000-05 trial

Biometrics ◽  
2016 ◽  
Vol 72 (3) ◽  
pp. 907-916 ◽  
Author(s):  
Agnieszka Król ◽  
Loïc Ferrer ◽  
Jean-Pierre Pignon ◽  
Cécile Proust-Lima ◽  
Michel Ducreux ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
Recurrent Events ◽  
Joint Model ◽  
Tumor Burden ◽  
Terminal Event ◽  
Cancer Evolution

Joint model of recurrent events and a terminal event with time-varying coefficients

2013 ◽  
Vol 56 (2) ◽  
pp. 183-197 ◽  
Author(s):  
Zhangsheng Yu ◽  
Lei Liu ◽  
Dawn M. Bravata ◽  
Linda S. Williams
Keyword(s):  
Recurrent Events ◽  
Joint Model ◽  
Time Varying ◽  
Terminal Event ◽  
Varying Coefficients ◽  
Time Varying Coefficients

scholarly journals A Bayesian joint model of recurrent events and a terminal event

2018 ◽  
Vol 61 (1) ◽  
pp. 187-202 ◽  
Author(s):  
Zheng Li ◽  
Vernon M. Chinchilli ◽  
Ming Wang
Keyword(s):  
Recurrent Events ◽  
Joint Model ◽  
Terminal Event ◽  
Bayesian Joint Model

Semiparametric analysis of zero‐inflated recurrent events with a terminal event

2021 ◽  
Author(s):  
Chenchen Ma ◽  
Tao Hu ◽  
Zhantao Lin
Keyword(s):  
Recurrent Events ◽  
Terminal Event ◽  
Semiparametric Analysis

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
Keyword(s):  
Joint Model ◽  
Recurrent Event ◽  
Terminal Event ◽  
Event Data ◽  
Recurrent Event Data

Modeling marginal features in studies of recurrent events in the presence of a terminal event

2019 ◽  
Vol 25 (4) ◽  
pp. 681-695 ◽  
Author(s):  
Per Kragh Andersen ◽  
Jules Angst ◽  
Henrik Ravn
Keyword(s):  
Recurrent Events ◽  
Terminal Event

Estimation Methods of a Joint Model Based on Proportional Intensity Function and Proportional Hazard Function

2014 ◽  
Vol 631-632 ◽  
pp. 27-30
Author(s):  
Huan Bin Liu ◽  
Tong Yin ◽  
Cong Jun Rao
Keyword(s):  
Hazard Function ◽  
Recurrent Events ◽  
Joint Model ◽  
Intensity Function ◽  
Delta Method ◽  
Recurrent Event ◽  
Likelihood Method ◽  
Estimation Methods ◽  
Recurrent Events Data ◽  
Events Data

Recurrent events data refers to the observation of individuals, which contains the recurrent event time of interest. This paper mainly discusses a joint model when the end time is a multiplicable hazard function and the recurrent event process is a multiplicable intensity function. Based on the likelihood method, Delta method, U-statistic method and the idea of general estimation equation, the estimation of unknown parameters and unknown functions in the model is provided. It provides a new method of parameter estimation for the statistic analysis of recurrent events data.

scholarly journals Computational issues in fitting joint frailty models for recurrent events with an associated terminal event

2020 ◽  
Vol 188 ◽  
pp. 105259
Author(s):  
Gerrit Toenges ◽  
Antje Jahn-Eimermacher
Keyword(s):  
Recurrent Events ◽  
Frailty Models ◽  
Terminal Event
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