A nonlinear sparse neural ordinary differential equation model for multiple functional processes [0.03%]
一种用于多种功能过程的非线性稀疏神经普通微分方程模型
Yijia Liu,Lexin Li,Xiao Wang
Yijia Liu
In this article, we propose a new sparse neural ordinary differential equation (ODE) model to characterize flexible relations among multiple functional processes. We characterize the latent states of the functions via a set of ordinary diff...
Jerry Lawless
Jerry Lawless
Connectivity-informed adaptive regularization for generalized outcomes [0.03%]
基于连接性的自适应正则化以实现广义结果预测
Damian Brzyski,Marta Karas,Beau M Ances et al.
Damian Brzyski et al.
One of the challenging problems in neuroimaging is the principled incorporation of information from different imaging modalities. Data from each modality are frequently analyzed separately using, for instance, dimensionality reduction techn...
Under-reporting of COVID-19 in the Northern Health Authority region of British Columbia [0.03%]
加拿大不列颠哥伦比亚省北部卫生局辖区新冠肺炎疫情低估问题
Matthew R P Parker,Yangming Li,Lloyd T Elliott et al.
Matthew R P Parker et al.
Asymptomatic and pauci-symptomatic presentations of COVID-19 along with restrictive testing protocols result in undetected COVID-19 cases. Estimating undetected cases is crucial to understanding the true severity of the outbreak. We introdu...
Sean Elliott,Christian Gouriéroux
Sean Elliott
The aim of this article is to understand the extreme variability in estimates of the reproduction ratio R 0 observed in practice. For expository purposes, we consider a discrete-time, stochastic version of the susceptible-infected-recovered...
Ling-Wan Chen,Yu Cheng,Ying Ding et al.
Ling-Wan Chen et al.
The association between two event times is of scientific importance in various fields. Due to population heterogeneity, it is desirable to examine the degree to which local association depends on different characteristics of the population....
Evaluation of competing risks prediction models using polytomous discrimination index [0.03%]
使用多项辨别指数评估竞争风险预测模型
Maomao Ding,Jing Ning,Ruosha Li
Maomao Ding
For competing risks data, it is often important to predict a patient's outcome status at a clinically meaningful time point after incorporating the informative censoring due to competing risks. This can be done by adopting a regression mode...
Semiparametric isotonic regression modelling and estimation for group testing data [0.03%]
分组测试数据的半参数单调回归模型及其估计方法研究
Ao Yuan,Jin Piao,Jing Ning et al.
Ao Yuan et al.
In the group testing procedure, several individual samples are grouped and the pooled samples, instead of each individual sample, are tested for outcome status (e.g., infectious disease status). Although this cost-effectiveness strategy in ...
A Structured Brain-wide and Genome-wide Association Study Using ADNI PET Images [0.03%]
基于ADNI PET图像的结构化全脑和全基因组关联研究
Yanming Li,Bin Nan,Ji Zhu;Alzheimer’s Disease Neuroimaging Initiative
Yanming Li
A multi-stage variable selection method is introduced for detecting association signals in structured brain-wide and genome-wide association studies (brain-GWAS). Compared to conventional single-voxel-to-single-SNP approaches, our approach ...
Discussion of "Statistical disease mapping for heterogeneous neuroimaging studies" [0.03%]
“异质性神经影像学研究的统计疾病制图”述评
Ben Wu,Jian Kang
Ben Wu
This is a discussion of Liu & Zhu (2021), which develops a novel statistical disease mapping framework for neuroimaging data analysis. ...