Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring

RB Geskus - Biometrics, 2011 - academic.oup.com
The standard estimator for the cause-specific cumulative incidence function in a competing
risks setting with left truncated and/or right censored data can be written in two alternative …

[图书][B] Data analysis with competing risks and intermediate states

RB Geskus - 2016 - api.taylorfrancis.com
In the end we all die. More interesting than the death event itself is the time component: at
what age does one die and what characteristics make some individuals die earlier than …

Nonparametric analysis of doubly truncated data

P Shen - Annals of the Institute of Statistical Mathematics, 2010 - Springer
One of the principal goals of the quasar investigations is to study luminosity evolution. A
convenient one-parameter model for luminosity says that the expected log luminosity, T …

Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation

B Vakulenko‐Lagun, J Qian, SH Chiou, N Wang… - …, 2022 - Wiley Online Library
There is often delayed entry into observational studies, which results in left truncation. In the
estimation of the distribution of time‐to‐event from left‐truncated data, standard survival …

Regression models for the restricted residual mean life for right‐censored and left‐truncated data

G Cortese, SA Holmboe, TH Scheike - Statistics in medicine, 2017 - Wiley Online Library
The hazard ratios resulting from a Cox's regression hazards model are hard to interpret and
to be converted into prolonged survival time. As the main goal is often to study survival …

Pseudo maximum likelihood estimation for the Cox model with doubly truncated data

P Shen, Y Liu - Statistical papers, 2019 - Springer
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 …

Censoring and truncation—highlighting the differences

M Mandel - The American Statistician, 2007 - Taylor & Francis
Survival data are very common in medical science, actuarial science, astronomy,
demography, and many other scientific areas. The most typical characteristic of survival data …

Survival curve estimation with dependent left truncated data using Cox's model

T Mackenzie - The international journal of biostatistics, 2012 - degruyter.com
Abstract The Kaplan-Meier and closely related Lynden-Bell estimators are used to provide
nonparametric estimation of the distribution of a left-truncated random variable. These …

On the role of Volterra integral equations in self-consistent, product-limit, inverse probability of censoring weighted, and redistribution-to-the-right estimators for the …

RL Strawderman, BR Baer - Lifetime Data Analysis, 2024 - Springer
This paper reconsiders several results of historical and current importance to nonparametric
estimation of the survival distribution for failure in the presence of right-censored observation …

Semiparametric analysis of transformation models with dependently left-truncated and right-censored data

PS Shen - Communications in Statistics-Simulation and …, 2017 - Taylor & Francis
In transplant studies, the patients must survive long enough to receive a transplant, which
induces left-truncation. The assumption of independence between failure and truncation …