A semi-parametric accelerated failure time cure model

2002 ◽  
Vol 21 (21) ◽  
pp. 3235-3247 ◽  
Author(s):  
Chin-Shang Li ◽  
Jeremy M. G. Taylor
Keyword(s):  
Failure Time ◽  
Accelerated Failure Time ◽  
Cure Model ◽  
Accelerated Failure

scholarly journals An Extended Semi-Parametric Accelerated Failure Time Cure Model for Partial Cure Information Known

2018 ◽  
Vol 8 (1) ◽  
pp. 9-19
Author(s):  
Yu Wu ◽  
Yong Lin ◽  
Shou-En Lu ◽  
Chin-Shang Li ◽  
Weichung Joe Shih
Keyword(s):  
Failure Time ◽  
Accelerated Failure Time ◽  
Cure Model ◽  
Accelerated Failure

Effects of covariates on alternating recurrent events in accelerated failure time models

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Moumita Chatterjee ◽  
Sugata Sen Roy
Keyword(s):  
Recurrent Events ◽  
Failure Time ◽  
Likelihood Method ◽  
Model Parameters ◽  
Accelerated Failure Time ◽  
Survival Times ◽  
Copula Functions ◽  
Event Time ◽  
Accelerated Failure Time Models ◽  
Accelerated Failure

AbstractIn this article, we model alternately occurring recurrent events and study the effects of covariates on each of the survival times. This is done through the accelerated failure time models, where we use lagged event times to capture the dependence over both the cycles and the two events. However, since the errors of the two regression models are likely to be correlated, we assume a bivariate error distribution. Since most event time distributions do not readily extend to bivariate forms, we take recourse to copula functions to build up the bivariate distributions from the marginals. The model parameters are then estimated using the maximum likelihood method and the properties of the estimators studied. A data on respiratory disease is used to illustrate the technique. A simulation study is also conducted to check for consistency.

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