Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model

D Xu, S Zhao, T Hu, J Sun - Journal of Nonparametric Statistics, 2019 - Taylor & Francis
Regression analysis of interval-censored failure time data with noninformative censoring
has been widely investigated and many methods have been proposed. Sometimes the …

Regression Analysis of Dependent Current Status Data with Left-Truncation Under Linear Transformation Model

M Zhang, S Zhao, D Xu, T Hu, J Sun - Journal of Systems Science and …, 2024 - Springer
The paper discusses the regression analysis of current status data, which is common in
various fields such as tumorigenic research and demographic studies. Analyzing this type of …

Semiparametric probit model for informative current status data

M Du, T Hu, J Sun - Statistics in Medicine, 2019 - Wiley Online Library
Semiparametric probit models have recently attracted some attention for regression analysis
of failure time data partly due to the popularity of the normal distribution and its special …

Survival function estimation of current status data with dependent censoring

JJ Hsieh, YY Chen - Statistics & Probability Letters, 2020 - Elsevier
Survival function estimation of current status data with dependent censoring - ScienceDirect
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Regression analysis of dependent current status data with the accelerated failure time model

D Xu, S Zhao, J Sun - Communications in Statistics-Simulation and …, 2022 - Taylor & Francis
In this article, we discuss the regression analysis of dependent current status data under the
accelerated failure time model. There exist many literatures discussing the regression …

The sparse estimation of the semiparametric linear transformation model with dependent current status data

L Luo, J Yu, H Zhao - Journal of Applied Statistics, 2024 - Taylor & Francis
In this paper, we study the sparse estimation under the semiparametric linear transformation
models for the current status data, also called type I interval-censored data. For the problem …

Regression Analysis of Misclassified Current Status Data with Informative Observation Times

W Wang, D Xu, S Zhao, J Sun - Journal of Systems Science and …, 2023 - Springer
Misclassified current status data arises if each study subject can only be observed once and
the observation status is determined by a diagnostic test with imperfect sensitivity and …

[PDF][PDF] 可加风险模型下相依I 型区间删失数据的一个Copula 推断方法

赵慧, 崔琪, 孙建国 - SCIENCE CHINA Mathematics, 2012 - academia.edu
摘要可加风险模型是生存分析中一类重要的回归模型, 许多学者对该模型进行过研究.
但是针对相依I 型区间删失数据的研究却非常少, 且已有的研究都假设删失时间与寿命之间的 …

Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data

M Du - Emerging Topics in Modeling Interval-Censored …, 2022 - Springer
Abstract As discussed by Dr. Finkelstein in Chap. 1, interval-censored failure time data are a
general type of failure time or time-to-event data that often occur in many areas, including …

Statistical Analysis of Interval-Censored Failure Time Data

DU Mingyue, SUN Jianguo - Chinese Journal of Applied …, 2021 - aps.ecnu.edu.cn
Interval-censored failure time data are a general type of failure time or time-to-event data
where the failure time of interest is known or observed only to lie in an interval or window …