Cox regression model with doubly truncated data
Truncation is a well‐known phenomenon that may be present in observational studies of
time‐to‐event data. While many methods exist to adjust for either left or right truncation …
time‐to‐event data. While many methods exist to adjust for either left or right truncation …
Augmenting the unreturned for field data with information on returned failures only
Field data are an important source of reliability information for many commercial products.
Because field data are often collected by the maintenance department, information on failed …
Because field data are often collected by the maintenance department, information on failed …
Pseudo maximum likelihood estimation for the Cox model with doubly truncated data
The partial likelihood (PL) function has been mainly used for the Cox proportional hazards
models with censored data. The PL approach can also be used for analyzing left-truncated …
models with censored data. The PL approach can also be used for analyzing left-truncated …
Semiparametric likelihood inference for heterogeneous survival data under double truncation based on a Poisson birth process
A Dörre - Japanese Journal of Statistics and Data Science, 2021 - Springer
We study a selective sampling scheme in which survival data are observed during a data
collection period if and only if a specific failure event is experienced. Individual units belong …
collection period if and only if a specific failure event is experienced. Individual units belong …
Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data
P Shen, H Hsu - Computational Statistics & Data Analysis, 2020 - Elsevier
Doubly truncated data arise when a failure time T is observed only if it falls within a subject-
specific, possibly random, interval [U, V], where U and V are referred to as left-and right …
specific, possibly random, interval [U, V], where U and V are referred to as left-and right …
Cox regression model with doubly truncated and interval-censored data
P Shen - Computational Statistics & Data Analysis, 2025 - Elsevier
Interval sampling is an efficient sampling scheme used in epidemiological studies. Doubly
truncated (DT) data arise under this sampling scheme when the failure time can be …
truncated (DT) data arise under this sampling scheme when the failure time can be …
Goodness-of-fit tests for a semiparametric model under random double truncation
C Moreira, J de Una-Alvarez, I Van Keilegom - Computational Statistics, 2014 - Springer
Doubly truncated data are commonly encountered in areas like medicine, astronomy,
economics, among others. A semiparametric estimator of a doubly truncated random …
economics, among others. A semiparametric estimator of a doubly truncated random …
Bandwidth selection for kernel density estimation with doubly truncated data
C Moreira, I Van Keilegom - Computational Statistics & Data Analysis, 2013 - Elsevier
Several bandwidth selection procedures for kernel density estimation of a random variable
that is sampled under random double truncation are introduced and compared. The …
that is sampled under random double truncation are introduced and compared. The …
Nonparametric analysis of doubly truncated and interval-censored data
P Shen - Statistical Methods in Medical Research, 2022 - journals.sagepub.com
In epidemiological studies, it is easier to collect data only from individuals whose failure
events are within a calendar time interval, the so-called interval sampling, which leads to …
events are within a calendar time interval, the so-called interval sampling, which leads to …
Kernel density estimation with doubly truncated data
C Moreira, J de Una-Alvarez - 2012 - projecteuclid.org
In some applications with astronomical and survival data, doubly truncated data are
sometimes encountered. In this work we introduce kernel-type density estimation for a …
sometimes encountered. In this work we introduce kernel-type density estimation for a …