Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship [0.03%]
纵向结局影像中介分析：儿童脑肿瘤幸存者案例研究
Yimei Li,Jade Xiaoqing Wang,Grace Chen Zhou et al.
Yimei Li et al.
Aggressive cancer treatments that affect the central nervous system are associated with an increased risk of cognitive deficits. As treatment for pediatric brain tumors has become more effective, there has been a heightened focus on improvi...
Eunah Cho,Shu Yang
Eunah Cho
Confounding control is crucial and yet challenging for causal inference based on observational studies. Under the typical unconfoundness assumption, augmented inverse probability weighting (AIPW) has been popular for estimating the average ...
Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data [0.03%]
时间变化向量自回归模型的平滑在线参数估计及其在大鼠局部场电位活动数据中的应用
Anass El Yaagoubi Bourakna,Marco Pinto,Norbert Fortin et al.
Anass El Yaagoubi Bourakna et al.
Multivariate time series data appear often as realizations of non-stationary processes where the covariance matrix or spectral matrix smoothly evolve over time. Most of the current approaches estimate the time-varying spectral properties on...
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data [0.03%]
一种双回归方法，用于高维非线性和非高斯数据的图形模型化
Siqi Liang,Faming Liang
Siqi Liang
Graphical models have long been studied in statistics as a tool for inferring conditional independence relationships among a large set of random variables. The most existing works in graphical modeling focus on the cases that the data are G...
Zhuofan Wang,Fangting Zhou,Kejun He et al.
Zhuofan Wang et al.
The development of modern sequencing technologies provides great opportunities to measure gene expression of multiple tissues from different individuals. The three-way variation across genes, tissues, and individuals makes statistical infer...
Kunbo Wang,Yanxun Xu
Kunbo Wang
We propose a Bayesian tensor-on-tensor regression approach to predict a multidimensional array (tensor) of arbitrary dimensions from another tensor of arbitrary dimensions, building upon the Tucker decomposition of the regression coefficien...
Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records [0.03%]
使用电子健康记录为多类2型糖尿病治疗制定个体化治疗规则
Jitong Lou,Yuanjia Wang,Lang Li et al.
Jitong Lou et al.
In this article, we propose a general framework to learn optimal treatment rules for type 2 diabetes (T2D) patients using electronic health records (EHRs). We first propose a joint modeling approach to characterize patient's pretreatment co...
Latent Class Proportional Hazards Regression with Heterogeneous Survival Data [0.03%]
具有异质生存数据的潜类别比例风险回归分析
Teng Fei,John J Hanfelt,Limin Peng
Teng Fei
Heterogeneous survival data are commonly present in chronic disease studies. Delineating meaningful disease subtypes directly linked to a survival outcome can generate useful scientific implications. In this work, we develop a latent class ...
Analysis of cortical morphometric variability using labeled cortical distance maps [0.03%]
基于皮层距离图的皮层形态学变异分析方法研究
E Ceyhan,T Nishino,K N Botteron et al.
E Ceyhan et al.
Morphometric (i.e., shape and size) differences in the anatomy of cortical structures are associated with neurodevelopmental and neuropsychiatric disorders. Such differences can be quantized and detected by a powerful tool called Labeled Co...
Confidence in the treatment decision for an individual patient: strategies for sequential assessment [0.03%]
针对单个患者的治疗决策信心：序贯评估策略
Nina Orwitz,Thaddeus Tarpey,Eva Petkova
Nina Orwitz
Evolving medical technologies have motivated the development of treatment decision rules (TDRs) that incorporate complex, costly data (e.g., imaging). In clinical practice, we aim for TDRs to be valuable by reducing unnecessary testing whil...