… ) for the exponential model without covariates. In this paper, the regression model is extended
to a general class of accelerated failuretime models with covariates. Thus, the modified …

… developed linear regression methods for analysing failure time observations… failure time
model has an intuitive physical interpretation and would be a Sseful alternative to the Cox model …

… follow-up times. We assess the adequacy of the standard accelerated failure time survival
model, and then generalize it to further describe the association of risk factors with CHD …

… Estimation in Cox's failure time regression model is considered when the regression vector
… and a marginal likelihood function based on failure time ranks, are also indicated. Illustration …

… of models for multivariate failure time data. Two distinct classes of models are considered:
frailty and marginal models. … The two regression models considered represent different ways of …

… In this paper we study a regression calibration method for failure time regression … failure
time and the potential censoring time. We consider the Cox (1972) hazard regression model …

… Two general classes of regression models are considered in order to relate the hazard or
intensity function to covariates and to preceding failure time history. Both models are of a …

… In this article we propose a general Cox-type regression model to formulate the marginal
distributions of multivariate failure time data. This model has a nested structure in that it allows …

… to use the Weibull AFT model to predict when an event will … time (mean time to failure time,
mean time between failures), median survival time, and minimum prediction error survival time …

… For analyzing univariate survival data, a useful alternative to the Cox regression model is
to assume that the covariates are linearly related to, for example, the logarithm of the survival …