Multivariate functional linear discriminant analysis with feature selection: an application to inflammatory bowel disease classification [0.03%]
具有特征选择的多元功能线性判别分析：在炎症性肠病分类中的应用
Limeng Liu,Guannan Wang,Sandra E Safo
Limeng Liu
Inflammatory Bowel Disease (IBD), including Crohn's Disease (CD) and Ulcerative Colitis (UC), presents significant public health challenges due to its complex etiology. Motivated by the IBD study of the Integrative Human Microbiome Project,...
Bayesian nonparametric mixtures of categorical directed graphs for personalized causal inference [0.03%]
基于贝叶斯非参类别有向图混合模型的因果推断方法研究
Federico Castelletti,Laura Ferrini
Federico Castelletti
Quantifying the causal effect of a treatment on a disease is a crucial task in medical science for the administration of effective therapies. Typically, such causal effects are inferred from multivariate data that are collected on patients ...
Cure rate joint model for time-to-event data and longitudinal tumor burden with potential change points [0.03%]
含潜在分段点的生存数据与肿瘤负荷变化的治愈联合模型
Yixiang Qu,Ethan M Alt,Weibin Zhong et al.
Yixiang Qu et al.
In non-small cell lung cancer (NSCLC) clinical trials, tumor burden (TB) is a key longitudinal biomarker for assessing treatment effects. Typically, standard-of-care (SOC) therapies and some novel interventions initially decrease TB; howeve...
Semi-supervised calibration of inferred outcomes for estimating average treatment effects with validated outcomes [0.03%]
基于验证结果的平均处理效应估计的半监督校准方法
Daniel A Xu,Katherine P Liao,Tianxi Cai et al.
Daniel A Xu et al.
Estimating treatment effects with electronic health record data is complicated by the lack of validated outcome measures collected under standard protocols. Typically, outcomes can only be approximated or inferred using putative rules or ph...
Causal estimands and identification of time-varying effects in nonstationary time series from N-of-1 mobile device data [0.03%]
时变效应的因果估计量及在Nof1移动设备数据中的识别问题研究非平稳时间序列上的时变效应的因果估计量及在Nof1移动设备数据中的识别问题研究
Xiaoxuan Cai,Li Zeng,Charlotte Fowler et al.
Xiaoxuan Cai et al.
Mobile technology (mobile phones and wearable devices) generates continuous data streams encompassing outcomes, exposures, and covariates, presented as intensive longitudinal or multivariate time series data. The high frequency of measureme...
A divide and conquer strategy for recapitulating whole genome 3D structure using Hi-C data [0.03%]
一种利用Hi-C数据 Recapitulate 基因组三维结构的分而治之策略
Jincheol Park,Meng Wang,Emerson Webb et al.
Jincheol Park et al.
The three dimensional (3D) spatial organization of the genome is closely linked to biological functions and can be captured by Hi-C assays through interrogating genome-wide chromatin interactions. Methodologies for inferring 3D structures f...
Estimating the heritability of longitudinal rate-of-change: genetic insights into PSA velocity in prostate cancer-free individuals [0.03%]
估计纵向变化率的遗传度：无前列腺癌人群中的PSA变化速度的遗传学见解
Pei Zhang,Xiaoyu Wang,Jianxin Shi et al.
Pei Zhang et al.
Serum prostate-specific antigen (PSA) is widely used for prostate cancer screening. While the genetics of PSA levels have been studied to enhance screening accuracy, the genetic basis of PSA velocity, the rate of PSA change over time, remai...
A nutritionally informed model for Bayesian variable selection with metabolite response variables [0.03%]
一种用于贝叶斯变量选择的营养知情模型及其代谢物反应变量效应分析
Dylan Clark-Boucher,Brent A Coull,Harrison T Reeder et al.
Dylan Clark-Boucher et al.
Understanding the pathways through which diet affects human metabolism is a central task in nutritional epidemiology. This article proposes novel methodology to identify food items associated with blood metabolites in 2 cohorts of healthcar...
Data-augmented multistate modeling for chronic disease processes using cross-sectional studies: application to HPV and cervical precancer [0.03%]
基于横断面研究的慢性疾病过程的数据增强多状态模型化：应用于HPV和宫颈癌前病变
Fangya Mao,Nicole G Campos,Li C Cheung
Fangya Mao
Understanding the population-level natural history of human papillomavirus (HPV) infection and cervical precancer is essential for informing effective prevention strategies. Multistate models provide a principled framework for characterizin...
Data-adaptive identification of effect modifiers through stochastic shift interventions and cross-validated targeted learning [0.03%]
基于随机偏移干预和交叉验证靶向学习的自适应效应修饰因子识别方法
David McCoy,Wenxin Zhang,Alan Hubbard et al.
David McCoy et al.
In epidemiology, identifying subpopulations that are particularly vulnerable to exposures and those who may benefit differently from exposure-reducing interventions is essential. Factors such as age, gender-specific vulnerabilities, and phy...