Inverse probability weighted Cox regression for doubly truncated data
Doubly truncated data arise when event times are observed only if they fall within subject-
specific, possibly random, intervals. While non-parametric methods for survivor function …
specific, possibly random, intervals. While non-parametric methods for survivor function …
Bayesian estimation of a lifetime distribution under double truncation caused by time-restricted data collection
A Dörre - Statistical Papers, 2020 - Springer
We study a type of double truncation where units are observed if and only if their death event
occurs within a specific timespan. The resulting missing data mechanism is nonignorable …
occurs within a specific timespan. The resulting missing data mechanism is nonignorable …
Inverse probability weighting methods for Cox regression with right-truncated data
Right-truncated data arise when observations are ascertained retrospectively, and only
subjects who experience the event of interest by the time of sampling are selected. Such a …
subjects who experience the event of interest by the time of sampling are selected. Such a …
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 …
Efron–Petrosian integrals for doubly truncated data with covariates: An asymptotic analysis
J de Uña-Álvarez, I Van Keilegom - 2021 - projecteuclid.org
In survival analysis, epidemiology and related fields there exists an increasing interest in
statistical methods for doubly truncated data. Double truncation appears with interval …
statistical methods for doubly truncated data. Double truncation appears with interval …
Reliability analysis based on doubly-truncated and interval-censored data
PS Shen, HM Li - Journal of Applied Statistics, 2024 - Taylor & Francis
Field data provide important information on product reliability. Interval sampling is widely
used for collection of field data, which typically report incident cases during a certain time …
used for collection of field data, which typically report incident cases during a certain time …
Cox regression model under dependent truncation
Truncation is a statistical phenomenon that occurs in many time‐to‐event studies. For
example, autopsy‐confirmed studies of neurodegenerative diseases are subject to an …
example, autopsy‐confirmed studies of neurodegenerative diseases are subject to an …
Goodness‐of‐Fit Testing for a Regression Model With a Doubly Truncated Response
J de Uña‐Álvarez - Biometrical Journal, 2025 - Wiley Online Library
In survival analysis and epidemiology, among other fields, interval sampling is often
employed. With interval sampling, the individuals undergoing the event of interest within a …
employed. With interval sampling, the individuals undergoing the event of interest within a …
Imputation methods for the semiparametric transformation models with doubly-truncated and interval-censored data
P Shen, H Hsu - Communications in Statistics-Simulation and …, 2023 - Taylor & Francis
Interval sampling is often used in epidemiological studies. With interval sampling, data are
collected only from individuals who fail within a certain calendar time interval. Such interval …
collected only from individuals who fail within a certain calendar time interval. Such interval …