The accelerated failure time regression model under the extended-exponential distribution with
survival analysis Page 1 http://www.aimspress.com/journal/Math AIMS Mathematics, 9(6) …

To model time-to-event data, the Weibull, log-logistic, and log-normal distributions are
commonly utilized. Only monotone hazard rates are accommodated by the Weibull family …

STATISTICAL INFERENCE USING GENERAL PROGRESSIVELY CENSORED DATA
FROM THE GENERALIZED EXPONENTIAL DISTRIBUTION WITH ASYMMETRIC LO Page …

This study aims to propose a flexible, fully parametric hazard-based regression model for
censored time-to-event data with crossing survival curves. We call it the accelerated hazard …

A fully parametric accelerated failure time (AFT) model with a flexible, novel modified
exponential Weibull baseline distribution called the extended exponential Weibull …

In real life, more often experimental units are susceptible to more than one risk factor.
Moreover, some experimental units may not fail even if they are observed over a long period …

The log-logistic, log-normal and Weibull distributions are extensively used to model survival
data. The log-logistic and the log-normal families are used to model non-monotone (or …

One of the most crucial areas of statistics in biology and medicine is survival analysis.
Additionally, full probabilistic modelling is essential in many real-world applications in …

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 …

Abstract Gang Han, Brandon Zhao, Kendall Pye and Hongwei Zhao introduce a statistical
distribution to model survival outcomes and time-to-event data when failure rates are non …