Shifting-corrected regularized regression for 1H NMR metabolomics identification and quantification [0.03%]
用于氢-1核磁共振代谢物识别和定量的修正型规律回归方法
Thao Vu,Yuhang Xu,Yumou Qiu et al.
Thao Vu et al.
The process of identifying and quantifying metabolites in complex mixtures plays a critical role in metabolomics studies to obtain an informative interpretation of underlying biological processes. Manual approaches are time-consuming and he...
Inference after latent variable estimation for single-cell RNA sequencing data [0.03%]
单细胞rna测序数据潜在变量估计后的推断
Anna Neufeld,Lucy L Gao,Joshua Popp et al.
Anna Neufeld et al.
In the analysis of single-cell RNA sequencing data, researchers often characterize the variation between cells by estimating a latent variable, such as cell type or pseudotime, representing some aspect of the cell's state. They then test ea...
Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan [0.03%]
台湾地区呼吸系统疾病映射的时空变系数模型
Feifei Wang,Congyuan Duan,Yang Li et al.
Feifei Wang et al.
Respiratory diseases have been global public health problems for a long time. In recent years, air pollutants as important risk factors have drawn lots of attention. In this study, we investigate the influence of $/pm2.5$ (particulate matte...
Yi Zhao,Brian S Caffo,Xi Luo
Yi Zhao
In this study, a longitudinal regression model for covariance matrix outcomes is introduced. The proposal considers a multilevel generalized linear model for regressing covariance matrices on (time-varying) predictors. This model simultaneo...
Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data [0.03%]
使用介导分析和荟萃分析数据验证时间到事件的替代终点有效性
Quentin Le Coënt,Catherine Legrand,Virginie Rondeau
Quentin Le Coënt
With the ongoing development of treatments and the resulting increase in survival in oncology, clinical trials based on endpoints such as overall survival may require long follow-up periods to observe sufficient events and ensure adequate s...
Joint modeling of longitudinal and competing-risk data using cumulative incidence functions for the failure submodels accounting for potential failure cause misclassification through double sampling [0.03%]
基于失效子模型的累积发病率函数且通过双重抽样处理潜在的失效原因误分类的纵向数据和竞争风险数据的联合建模
Christos Thomadakis,Loukia Meligkotsidou,Constantin T Yiannoutsos et al.
Christos Thomadakis et al.
Most of the literature on joint modeling of longitudinal and competing-risk data is based on cause-specific hazards, although modeling of the cumulative incidence function (CIF) is an easier and more direct approach to evaluate the prognosi...
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks [0.03%]
生存分析的在线框架：大型数据集和神经网络下的Cox比例风险模型改革框架
Aliasghar Tarkhan,Noah Simon
Aliasghar Tarkhan
In many biomedical applications, outcome is measured as a "time-to-event" (e.g., disease progression or death). To assess the connection between features of a patient and this outcome, it is common to assume a proportional hazards model and...
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment [0.03%]
基于盲分析的二分类复合终点选择和期中样本量重新估计的自适应临床试验设计
Marta Bofill Roig,Guadalupe Gómez Melis,Martin Posch et al.
Marta Bofill Roig et al.
For randomized clinical trials where a single, primary, binary endpoint would require unfeasibly large sample sizes, composite endpoints (CEs) are widely chosen as the primary endpoint. Despite being commonly used, CEs entail challenges in ...
Multilayer Exponential Family Factor models for integrative analysis and learning disease progression [0.03%]
多层次指数族因子模型在集成分析和学习疾病进展中的应用
Qinxia Wang,Yuanjia Wang
Qinxia Wang
Current diagnosis of neurological disorders often relies on late-stage clinical symptoms, which poses barriers to developing effective interventions at the premanifest stage. Recent research suggests that biomarkers and subtle changes in cl...
CGR-CUSUM: a continuous time generalized rapid response cumulative sum chart [0.03%]
一种连续时间广义快速累积和图(CGR-CUSUM)方法
Daniel Gomon,Hein Putter,Rob G H H Nelissen et al.
Daniel Gomon et al.
Rapidly detecting problems in the quality of care is of utmost importance for the well-being of patients. Without proper inspection schemes, such problems can go undetected for years. Cumulative sum (CUSUM) charts have proven to be useful f...