Recurrent events modeling based on a reflected Brownian motion with application to hypoglycemia [0.03%]
基于反射布朗运动的复发事件模型及其在低血糖中的应用研究
Yingfa Xie,Haoda Fu,Yuan Huang et al.
Yingfa Xie et al.
Patients with type 2 diabetes need to closely monitor blood sugar levels as their routine diabetes self-management. Although many treatment agents aim to tightly control blood sugar, hypoglycemia often stands as an adverse event. In practic...
Bipartite interference and air pollution transport: estimating health effects of power plant interventions [0.03%]
二分图干扰与空气污染传输：电力工厂干预措施对健康的影響估算
Corwin Zigler,Vera Liu,Fabrizia Mealli et al.
Corwin Zigler et al.
Evaluating air quality interventions is confronted with the challenge of interference since interventions at a particular pollution source likely impact air quality and health at distant locations, and air quality and health at any given lo...
Bayesian thresholded modeling for integrating brain node and network predictors [0.03%]
基于贝叶斯阈值回归的脑网络节点效应和结构整合预测方法研究
Zhe Sun,Wanwan Xu,Tianxi Li et al.
Zhe Sun et al.
Progress in neuroscience has provided unprecedented opportunities to advance our understanding of brain alterations and their correspondence to phenotypic profiles. With data collected from various imaging techniques, studies have integrate...
Unveiling Schizophrenia: a study with generalized functional linear mixed model via the investigation of functional random effects [0.03%]
揭开精神分裂症的面纱：通过探究函数型随机效应采用广义功能线性混合模型的一项研究
Rongxiang Rui,Wei Xiong,Jianxin Pan et al.
Rongxiang Rui et al.
Previous studies have identified attenuated pre-speech activity and speech sound suppression in individuals with Schizophrenia, with similar patterns observed in basic tasks entailing button-pressing to perceive a tone. However, it remains ...
Yiqun T Chen,Lucy L Gao
Yiqun T Chen
For many applications, it is critical to interpret and validate groups of observations obtained via clustering. A common interpretation and validation approach involves testing differences in feature means between observations in two estima...
Ziren Jiang,Gen Li,Eric F Lock
Ziren Jiang
Data increasingly take the form of a multi-way array, or tensor, in several biomedical domains. Such tensors are often incompletely observed. For example, we are motivated by longitudinal microbiome studies in which several timepoints are m...
Bayesian subtyping for multi-state brain functional connectome with application on preadolescent brain cognition [0.03%]
基于多状态脑功能连接组的贝叶斯亚型分类及其在青少年期脑认知研究中的应用
Tianqi Chen,Hongyu Zhao,Chichun Tan et al.
Tianqi Chen et al.
Converging evidence indicates that the heterogeneity of cognitive profiles may arise through detectable alternations in brain functional connectivity. Despite an unprecedented opportunity to uncover neurobiological subtypes through clusteri...
Recoverability of causal effects under presence of missing data: a longitudinal case study [0.03%]
因果关系在存在缺失数据情况下的可恢复性：一项纵向研究案例分析
Anastasiia Holovchak,Helen McIlleron,Paolo Denti et al.
Anastasiia Holovchak et al.
Missing data in multiple variables is a common issue. We investigate the applicability of the framework of graphical models for handling missing data to a complex longitudinal pharmacological study of children with HIV treated with an efavi...
Fast standard error estimation for joint models of longitudinal and time-to-event data based on stochastic EM algorithms [0.03%]
基于随机EM算法的纵向数据和生存事件数据联合模型的快速标准误差估计方法
Tingting Yu,Lang Wu,Ronald J Bosch et al.
Tingting Yu et al.
Maximum likelihood inference can often become computationally intensive when performing joint modeling of longitudinal and time-to-event data, due to the intractable integrals in the joint likelihood function. The computational challenges e...