The article proposes a new regression based on the generalized odd log-logistic family for
interval-censored data. The survival times are not observed for this type of data, and the …

In prevalent cohort design, subjects who have experienced an initial event but not the failure
event are preferentially enrolled and the observed failure times are often length‐biased …

Outcomes after cancer diagnosis and treatment are often observed at discrete times via
doctor-patient encounters or specialized diagnostic examinations. Despite their ubiquity as …

Panel count data and interval‐censored data are two types of incomplete data that often
occur in event history studies. Almost all existing statistical methods are developed for their …

Objectives This study assesses tuberculosis (TB) treatment outcomes in Haiti. Methods Data
from drug-susceptible patients with TB (2018-2019) were analyzed using the Fine & Gray …

Incomplete coverage by cancer registries can lead to an underreporting of cancers and a
resulting bias in risk estimates. When registries are defined by geographic region, gaps in …

Competing risk data are frequently interval-censored, that is, the exact event time is not
observed but only known to lie between two examination time points such as clinic visits. In …

To investigate the effect of fitness on cardiovascular disease and all-cause mortality using
the Aerobics Center Longitudinal Study, we develop a semiparametric illness-death model …

We develop a post-selection inference method for the Cox proportional hazards model with
interval-censored data, which provides asymptotically valid p-values and confidence …

In this paper, we consider a class of partially linear transformation models with interval-
censored competing risks data. Under a semiparametric generalized odds rate specification …