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 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...

A unified implementation of parametric proportional hazards (PH) and accelerated failure time (AFT) models for right-censored or intervalcensored and left-truncated data is described. The description here is válid for time-constant covariates, but the necessary modifications for handling time-varying covariates are implemented in eha. Note that only piecewise constant time variation is handled.

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...

We study residuals of parametric accelerated failure time (AFT) models for censored data, with the main aim of inferring the correct functional form of possibly misspecified covariates. We demonstrate the use of the methods by a simulated example and by applications to two reliability data sets. We also consider briefly a corresponding approach for parametric proportional hazards models.

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...

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 ...

Independent censoring is a crucial assumption in survival analysis. However, this is impractical in many medical studies, where the presence of dependent censoring leads to difficulty in analyzing covariate effects on disease outcomes. The semicompeting risks framework offers one approach to handling dependent censoring. There are two representative estimators based on an artificial censoring t...

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...

The censored linear regression model, also referred to as the accelerated failure time (AFT) model when the logarithm of the survival time is used as the response variable, is widely seen as an alternative to the popular Cox model when the assumption of proportional hazards is questionable. Buckley and James [Linear regression with censored data, Biometrika 66 (1979) 429-436] extended the least...