Methods for Bivariate Survival Data with Mismeasured Covariates Under an Accelerated Failure Time Model

2006 ◽  
Vol 35 (8) ◽  
pp. 1539-1554 ◽  
Author(s):  
Grace Y. Yi ◽  
Wenqing He
Keyword(s):  
Survival Data ◽  
Failure Time ◽  
Accelerated Failure Time Model ◽  
Accelerated Failure Time ◽  
Time Model ◽  
Bivariate Survival ◽  
Accelerated Failure ◽  
Bivariate Survival Data ◽  
Failure Time Model

scholarly journals Log-Exponential Power Distribution for Accelerated Failure Time Model in Survival Analysis and Its Application

2021 ◽  
Vol 16 (1) ◽  
pp. 2587-2603
Author(s):  
Akinlolu Adeseye Olosunde ◽  
Chidimma Ejiofor
Keyword(s):  
Survival Data ◽  
Goodness Of Fit ◽  
Failure Time ◽  
Accelerated Failure Time Model ◽  
Accelerated Failure Time ◽  
Time Model ◽  
Exponential Power Distribution ◽  
Accelerated Failure ◽  
Exponential Power ◽  
Failure Time Model

We proposed the log-exponential power density function as baseline distribution for accelerated failure time model (AFT) used in analysis of survival data with covariates. This model generalizes the log-normal and some exponential family due to flexibility at the tail region. It has log-concavity property, accommodates the four basic shapes of hazard function which is an attractive property compared with other distributions that cannot accommodate same. The model's goodness of fit relative to some existing models was tested using data from chronic liver disease patients monitored at Obafemi Awolowo University Teaching Hospital, Ile-Ife

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