Weighted Brier Score - an Overall Summary Measure for Risk Prediction Models with Clinical Utility Consideration [0.03%]
具有临床实用性的风险预测模型的总体综合评估指标：加权Brier分数
Kehao Zhu,Yingye Zheng,Kwun Chuen Gary Chan
Kehao Zhu
As advancements in novel biomarker-based algorithms and models accelerate their use in disease risk prediction, it is crucial to evaluate these models within the context of their intended clinical application. Prediction models output the a...
Advancing Statistical Approaches for Modeling Exposure Mixtures and Health Outcomes [0.03%]
用于表征暴露混合物和健康结局的统计方法的发展
Zhen Chen,Paul S Albert
Zhen Chen
A Variance-Based Sensitivity Analysis Approach for Identifying Interactive Exposures [0.03%]
一种基于方差分析法的交互作用识别方法以发现敏感暴露因素
Ruijin Lu,Boya Zhang,Anna Birukov et al.
Ruijin Lu et al.
Chemical mixtures can significantly affect human health, but understanding the interactions among various chemical exposures and identifying influential ones in relation to some health outcomes are difficult. Bayesian kernel machine regress...
Novel Scalar-on-matrix Regression for Unbalanced Feature Matrices [0.03%]
新颖的标量对矩阵回归方法及其在不平衡特征矩阵上的应用研究
Jeremy Rubin,Fan Fan,Laura Barisoni et al.
Jeremy Rubin et al.
Image features that characterize tubules from digitized kidney biopsies may offer insight into disease prognosis as novel biomarkers. For each subject, we can construct a matrix whose entries are a common set of image features (e.g., area, ...
Intergenerational Associations Between Maternal Diet and Childhood Adiposity: A Bayesian Regularized Mediation Analysis [0.03%]
基于贝叶斯正则化的介导分析评估母亲饮食与儿童肥胖的代际关联
Yu-Bo Wang,Cuilin Zhang,Zhen Chen
Yu-Bo Wang
Growing evidence supports a positive association between childhood obesity and chronic diseases in later life. It is also suggested that childhood obesity is more prevalent for children born from pregnancies complicated by metabolic disorde...
Enhancing Genetic Risk Prediction through Federated Semi-Supervised Transfer Learning with Inaccurate Electronic Health Record Data [0.03%]
基于不准确电子健康记录数据的联邦半监督迁移学习遗传风险预测方法
Yuying Lu,Tian Gu,Rui Duan
Yuying Lu
Large-scale genomics data combined with Electronic Health Records (EHRs) illuminate the path towards personalized disease management and enhanced medical interventions. However, the absence of "gold standard" disease labels makes the develo...
DeepBiome: A Phylogenetic Tree Informed Deep Neural Network for Microbiome Data Analysis [0.03%]
深生物体：一种用于微生物组数据的系统发育树深度神经网络告知了
Jing Zhai,Youngwon Choi,Xingyi Yang et al.
Jing Zhai et al.
Evidence linking the microbiome to human health is rapidly growing. The microbiome profile has the potential as a novel predictive biomarker for many diseases. However, tables of bacterial counts are typically sparse, and bacteria are class...
Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes [0.03%]
区间截尾竞争风险结果的基因关联研究的集合基于检验
Zhichao Xu,Jaihee Choi,Ryan Sun
Zhichao Xu
Over the past decade, massive genetic compendiums such as the UK Biobank have gathered extensive genetic and phenotypic data that hold the potential to provide unparalleled insight into the genetic etiologies of various complex diseases. Ho...
A Perception-Augmented Hidden Markov Model for Parent-Child Relations in Families of Youth with Type 1 Diabetes [0.03%]
一种用于青年1型糖尿病患者家庭中父母子女关系的感知增强隐马尔可夫模型
Ruijin Lu,Tonja R Nansel,Zhen Chen
Ruijin Lu
In youth with Type 1 diabetes, adherence to medical treatment regimens requires the involvement of both parent and child. A clinic-integrated behavioral intervention in the Family Management of Diabetes (FMOD) trial was shown to be effectiv...
Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates [0.03%]
高维协变量下整合多队列的倾向值的贝叶斯估计方法研究
Subharup Guha,Yi Li
Subharup Guha
Comparative meta-analyses of groups of subjects by integrating multiple observational studies rely on estimated propensity scores (PSs) to mitigate covariate imbalances. However, PS estimation grapples with the theoretical and practical cha...