DEFINING AND ESTIMATING PRINCIPAL STRATUM SPECIFIC NATURAL MEDIATION EFFECTS WITH SEMI-COMPETING RISKS DATA [0.03%]
Fei Gao,Fan Xia,K C G Chan
Fei Gao
In many medical studies, an ultimate failure event, such as death, is likely to be affected by the occurrence and timing of other intermediate clinical events. Both event times are subject to censoring by loss-to-follow-up, but the nontermi...
Maomao Ding,Jing Ning,Xuming He et al.
Maomao Ding et al.
Many chronic diseases exhibit multifaceted symptoms that cannot be comprehensively characterized by one outcome. To address this, researchers often adopt a global outcome to combine information from multiple individual outcomes. The global ...
Andriy Derkach,Joshua N Sampson,Ruth M Pfeiffer
Andriy Derkach
Mediation analysis examines the relationships between an exposure, a mediator, and an outcome. Although many approaches are available for performing such analyses they all require access to a single complete data set that contains the three...
Quan Yuan,Binghui Liu,Danning Li et al.
Quan Yuan et al.
Most existing community discovery methods focus on partitioning all nodes of the network into communities. However, many real networks contain background nodes that do not belong to any community. In such a situation, typical methods tend t...
Yueying Wang,Guannan Wang,Brandon Klinedinst et al.
Yueying Wang et al.
The use of complex three-dimensional (3D) objects is growing in various applications as data collection techniques continue to evolve. Identifying and locating significant effects within these objects is essential for making informed decisi...
Fei Jiang,Lu Tian,Jian Kang et al.
Fei Jiang et al.
Classical regression generally assumes that all subjects follow a common model with the same set of parameters. With ever advancing capabilities of modern technologies to collect more subjects and more covariates, it has become increasingly...
SEMIPARAMETRIC REVERSED MEAN MODEL FOR RECURRENT EVENT PROCESS WITH INFORMATIVE TERMINAL EVENT [0.03%]
具有信息终止事件的复发事件过程的半参数逆向平均模型
Wen Su,Li Liu,Guosheng Yin et al.
Wen Su et al.
We study semiparametric regression for a recurrent event process with an informative terminal event, where observations are taken only at discrete time points, rather than continuously over time. To account for the effect of a terminal even...
NONPARAMETRIC ESTIMATION AND TESTING FOR PANEL COUNT DATA WITH INFORMATIVE TERMINAL EVENT [0.03%]
具有终止事件的板块计数数据的非参数估计和检验
Xiangbin Hu,Li Liu,Ying Zhang et al.
Xiangbin Hu et al.
Informative terminal events often occur in the long term recurrent event follow-up studies. To reflect their effects on recurrent event processes explicitly, we propose a reversed nonparametric mean model for panel count data with a termina...
A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules [0.03%]
基于随机决策规则的生成对抗网络的新范式
Sehwan Kim,Qifan Song,Faming Liang
Sehwan Kim
The Generative Adversarial Network (GAN) was recently introduced in the literature as a novel machine learning method for training generative models. It has many applications in statistics such as nonparametric clustering and nonparametric ...
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error [0.03%]
含测量误差的高维向量自回归模型的统计推断
Xiang Lyu,Jian Kang,Lexin Li
Xiang Lyu
High-dimensional vector autoregression with measurement error is frequently encountered in a large variety of scientific and business applications. In this article, we study statistical inference of the transition matrix under this model. W...