Recurrent event analyses have found a wide range of applications in biomedicine, public
health, and engineering, among others, where study subjects may experience a sequence …

Accelerated failure time (AFT) models are alternatives to relative risk models which are used
extensively to examine the covariate effects on event times in censored data regression …

Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …

People with tuberculosis (TB) are often lost to follow-up during treatment transition to
another facility. These losses may result in substantial morbidity and mortality but are rarely …

Massive survival data are increasingly common in many research fields, and subsampling is
a practical strategy for analyzing such data. Although optimal subsampling strategies have …

Background To determine the impact of an intensive perioperative nutritional and lifestyle
support protocol on long-term outcomes of bariatric surgery. Methods A retrospective …

We propose a set of goodness-of-fit tests for the semiparametric accelerated failure time
(AFT) model, including an omnibus test, a link function test, and a functional form test. This …

Interval-censored data frequently arise in various biomedical areas involving periodical
follow-ups where the failure or event time of interest cannot be observed exactly but is only …

Alternating recurrent event data arise frequently in clinical and epidemiologic studies, where
2 types of events such as hospital admission and discharge occur alternately over time. The …

Background Failure time data frequently occur in many medical studies and often
accompany with various types of censoring. In some applications, left truncation may occur …