[图书][B] Biased sampling, over-identified parameter problems and beyond

J Qin - 2017 - Springer
When I was a graduate student more than twenty five years ago, I was struggling to read
many statistical research papers. This is particularly true at the time when I had passed my …

Variable selection for case-cohort studies with informatively interval-censored outcomes

M Du, X Zhao, J Sun - Computational Statistics & Data Analysis, 2022 - Elsevier
Variable selection has recently attracted a great deal of attention and in particular, a couple
of methods have been proposed for general interval-censored failure time data or the …

Two‐phase designs with current status data

F Mao, RJ Cook - Statistics in Medicine, 2023 - Wiley Online Library
We consider the design and analysis of two‐phase studies aiming to assess the relation
between a fixed (eg, genetic) marker and an event time under current status observation. We …

Fitting a progressive three-state colorectal cancer model to interval-censored surveillance data under outcome-dependent sampling using a weighted likelihood …

EU Akwiwu, T Klausch, HC Jodal… - American Journal of …, 2024 - academic.oup.com
To optimize colorectal cancer (CRC) surveillance, accurate information on the risk of
developing CRC from premalignant lesions is essential. However, directly observing this risk …

Regression analysis of case-cohort studies in the presence of dependent interval censoring

M Du, Q Zhou, S Zhao, J Sun - Journal of applied statistics, 2021 - Taylor & Francis
The case-cohort design is widely used as a means of reducing the cost in large cohort
studies, especially when the disease rate is low and covariate measurements may be …

Improving estimation efficiency of case-cohort studies with interval-censored failure time data

Q Zhou, KY Wong - Statistical Methods in Medical Research, 2024 - journals.sagepub.com
<? show [AQ ID= GQ2 POS=-20pt]?><? show [AQ ID= GQ5 POS= 12pt]?> The case-cohort
design is a commonly used cost-effective sampling strategy for large cohort studies, where …

Modeling and maximum likelihood based inference of interval‐censored data with unknown upper limits and time‐dependent covariates

J Wu, L Geng, A Starkweather… - Statistics in Medicine, 2023 - Wiley Online Library
Due to the nature of study design or other reasons, the upper limits of the interval‐censored
data with multiple visits are unknown. A naïve approach is to treat the last observed time as …

Analysis of Informatively Interval-Censored Case–Cohort Studies with the Application to HIV Vaccine Trials

M Du, Q Zhou - Communications in Mathematics and Statistics, 2023 - Springer
Case–cohort studies are commonly used in various investigations, and many methods have
been proposed for their analyses. However, most of the available methods are for right …

Variable Selection for Interval‐censored Failure Time Data

M Du, J Sun - International Statistical Review, 2022 - Wiley Online Library
Variable selection for interval‐censored failure time data has recently attracted a great deal
of attention along with the analysis of interval‐censored data in both method developments …

Feature screening for case-cohort studies in the presence of interval censoring

Z Cao, H Li, J Sun, N Tang - Journal of Nonparametric Statistics, 2024 - Taylor & Francis
A great literature has been established for both feature screening under various situations
and the analysis of case-cohort studies. Also several methods have been proposed for …