conclusions parametric models may provide complementary data for clinicians and researchers about how risks vary over time. the weibull model seemed to show the best fit among the parametric models of the survival of hemodialysis patients. results the results of a multivariate analysis of the variables in the parametric models showed that the mean serum albumin and the clinic attended were the ...

background and purpose: the goal of this study is application of the proportional hazards model (ph) and accelerated failure time model (aft), with consideration weibull distribution, to determine the level of effectiveness of the factors affecting on the level of disease-free survival (dfs) of the patients with breast cancer. materials and methods: based on the retrospective descriptive studie...

In the literature, a lot of effort has been devoted to develop effective estimation and inference methods for the accelerated failure time (AFT) model for right censored data. In the talk, we will give a review on the recent development on the estimation and inference methods for the AFT model based on the work in [Jin et al., 2003] and [Jin et al., 2004].

The accelerated failure time (AFT) model is an important alternative to the Cox proportional hazards model (PHM) in survival analysis. For multivariate failure time data we propose to use frailties to explicitly account for possible correlations (and heterogeneity) among failure times. An EM-like algorithm analogous to that in the frailty model for the Cox model is adapted. Through simulation i...

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 ...

accelerated failure time (AFT) model, 227 accuracy quality control (AQCg; AQCp), MetaQC package, 41 aCGH (array comparative genomic hybridization), 333, 403 AD (Alzheimer’s disease), 102–103 adaptively weighted Fisher’s (AW-Fisher’s) method, 43 adjusted Rand index, 242 Affymetrix arrays, 400–401 AFT (accelerated failure time) model, 227 allele frequencies, comparison of, 14f allele-specific bin...

The accelerated failure time (AFT) model assumes a linear relationship between the event time and the covariates. We propose a robust weighted least-absolute-deviations (LAD) method for estimation in the AFT model with right-censored data. This method uses the Kaplan-Meier weights in the LAD objective function to account for censoring. We show that the proposed estimator is root-n consistent an...

A fully parametric accelerated failure time (AFT) model with a flexible, novel modified exponential Weibull baseline distribution called the extended (ExEW-AFT) is proposed. The presented using multi-parameter survival regression model, where more than one distributional parameter linked to covariates. formulation, probabilistic functions, and some of its sub-models were derived. parameters int...

The …eld of survival analysis has experienced tremendous growth during the latter half of the 20th century. The methodological developments of survival analysis that have had the most profound impact are the Kaplan-Meier method for estimating the survival function, the log-rank test for comparing the equality of two or more survival distributions, and the Cox proportional hazards (PH) model for...