Accelerated failure time models for censored survival data under referral bias

Accelerated failure time models for censored survival data under referral bias.

The estimation of progression to liver cirrhosis and identifying its risk factors are often of epidemiological interest in hepatitis C natural history study. In most hepatitis C cohort studies, patients were usually recruited to the cohort with a referral bias because clinically the patients with more rapid disease progression were preferentially referred to liver clinics. A pair of correlated ...

Failure Process Modeling with Censored Data in Accelerated Life Tests

Manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. Proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. So, the Failure Process Modeling (FPM) plays a key role in the reliability analysis of the system that has been less focused on. This paper introduces a f...

Inferences on Median Failure Time for Censored Survival Data

failure process modeling with censored data in accelerated life tests

manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. so, the failure process modeling (fpm) plays a key role in the reliability analysis of the system that has been less focused on. this paper introduces a f...

Survival analysis of thalassemia major patients using Cox, Gompertz proportional hazard and Weibull accelerated failure time models

Background: Thalassemia major (TM) is a severe disease and the most common anemia worldwide. The survival time of the disease and its risk factors are of importance for physicians. The present study was conducted to apply the semi-parametric Cox PH model and use parametric proportional hazards (PH) and accelerated failure time (AFT) models to identify the risk factors related to survival of TM ...