Study on Asymptotic Properties of a Joint Model

2014 ◽  
Vol 631-632 ◽  
pp. 86-89
Author(s):  
Huan Bin Liu ◽  
Tong Yin ◽  
Cong Jun Rao
Keyword(s):  
Hazard Function ◽  
Asymptotic Properties ◽  
Joint Model ◽  
Recurrent Event ◽  
Regularity Conditions ◽  
Proportional Hazard ◽  
Event Data ◽  
Recurrent Event Data ◽  
Great Progress ◽  
End Times

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.

Study on the Asymptotic Properties of a Composite Model in Statistical Analysis of Recurrent Event

2014 ◽  
Vol 631-632 ◽  
pp. 90-93
Author(s):  
Huan Bin Liu ◽  
Tong Yin ◽  
Cheng Wang
Keyword(s):  
Statistical Analysis ◽  
Hazard Function ◽  
Recurrent Events ◽  
Asymptotic Properties ◽  
Composite Model ◽  
Recurrent Event ◽  
Regularity Conditions ◽  
Event Time ◽  
Recurrent Events Data ◽  
Events Data

Recurrent events data refers to the observation of individuals, which contains the recurrent event time of interest. In this paper, we focus on the statistical analysis of recurrent event, and present a composite model based on the proportional intensity function and additive hazard function, and then prove the consistency and asymptotic properties of the estimation under certain regularity conditions.

scholarly journals A class of accelerated means regression models for multiple type recurrent event data

Filomat ◽  
2016 ◽  
Vol 30 (11) ◽  
pp. 3015-3021
Author(s):  
June Liu ◽  
Huanbin Liu
Keyword(s):  
General Class ◽  
Regression Models ◽  
Recurrent Events ◽  
Asymptotic Properties ◽  
Recurrent Event ◽  
Model Parameters ◽  
Event Data ◽  
Recurrent Event Data ◽  
Parameter Estimators ◽  
Multiple Type

Recurrent events are frequently observed in biomedical studies, and often more than one type of event is of interest. In this paper, we first propose a general class of accelerated means regression models for multiple type recurrent event data. We then formulate estimating equations for the model parameters, and finally examine asymptotic properties of the parameter estimators.

scholarly journals Penalized survival models for the analysis of alternating recurrent event data

Biometrics ◽  
2019 ◽  
Vol 76 (2) ◽  
pp. 448-459 ◽  
Author(s):  
Lili Wang ◽  
Kevin He ◽  
Douglas E. Schaubel
Keyword(s):  
Recurrent Event ◽  
Survival Models ◽  
Event Data ◽  
Recurrent Event Data
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