Causal functional mediation analysis with an application to functional magnetic resonance imaging data [0.03%]
具有应用功能的因果函数中介分析磁共振成像数据
Yi Zhao,Xi Luo,Michael E Sobel et al.
Yi Zhao et al.
A primary goal of task-based functional magnetic resonance imaging (fMRI) studies is to quantify the effective connectivity between brain regions when stimuli are presented. Assessing the dynamics of effective connectivity has attracted inc...
A surrogate endpoint-based provisional approval causal roadmap, illustrated by vaccine development [0.03%]
基于替代终点的有条件批准因果路线图：疫苗开发举例说明
Peter B Gilbert,James Peng,Larry Han et al.
Peter B Gilbert et al.
For many rare diseases with no approved preventive interventions, promising interventions exist. However, it has proven difficult to conduct a pivotal phase 3 trial that could provide direct evidence demonstrating a beneficial effect of the...
Danielle Demateis,Sandra India-Aldana,Robert O Wright et al.
Danielle Demateis et al.
Epidemiological evidence supports an association between exposure to air pollution during pregnancy and birth and child health outcomes. Typically, such associations are estimated by regressing an outcome on daily or weekly measures of expo...
Incorporating historic information to further improve power when conducting Bayesian information borrowing in basket trials [0.03%]
结合历史信息以进一步提高在篮子试验中进行贝叶斯信息借力时的效力
Libby Daniells,Pavel Mozgunov,Helen Barnett et al.
Libby Daniells et al.
In basket trials a single therapeutic treatment is tested on several patient populations simultaneously, each of which forming a basket, where patients across all baskets on the trial share a common genetic aberration. These trials allow te...
Addressing the mean-variance relationship in spatially resolved transcriptomics data with spoon [0.03%]
利用spoon解决空间分辨转录组学数据中的均值方差关系
Kinnary Shah,Boyi Guo,Stephanie C Hicks
Kinnary Shah
An important task in the analysis of spatially resolved transcriptomics (SRT) data is to identify spatially variable genes (SVGs), or genes that vary in a 2D space. Current approaches rank SVGs based on either $ P $-values or an effect size...
Identification and estimation of causal effects with confounders missing not at random [0.03%]
混杂变量缺失情况下的因果效应的识别与估计
Jian Sun,Bo Fu
Jian Sun
Making causal inferences from observational studies can be challenging when confounders are missing not at random. In such cases, identifying causal effects is often not guaranteed. Motivated by a real example, we consider a treatment-indep...
Biomarker-assisted reporting in nutritional epidemiology: addressing measurement error in exposure-disease associations [0.03%]
营养流行病学中的生物标志物辅助报告：解决暴露-疾病关联中的测量误差问题
Ying Huang,Ross L Prentice
Ying Huang
In nutritional epidemiology, self-reported dietary data are commonly used to investigate diet-disease relationships. However, the resulting association estimates are often subject to biases due to random and systematic measurement errors. R...
Sensitivity analysis for the probability of benefit in randomized controlled trials with a binary treatment and a binary outcome [0.03%]
随机对照试验中针对二分法治疗和结果的概率效益的敏感性分析
Iuliana Ciocănea-Teodorescu,Erin E Gabriel,Arvid Sjölander
Iuliana Ciocănea-Teodorescu
For a comprehensive understanding of the effect of a given treatment on an outcome of interest, quantification of individual treatment heterogeneity is essential, alongside estimation of the average causal effect. However, even in randomize...
Predicting distributions of physical activity profiles in the National Health and Nutrition Examination Survey database using a partially linear Fréchet single index model [0.03%]
基于部分线性Fréchet单指标模型的National Health and Nutrition Examination Survey数据库中身体活动分布的研究
Marcos Matabuena,Aritra Ghosal,Wendy Meiring et al.
Marcos Matabuena et al.
Object-oriented data analysis is a fascinating and evolving field in modern statistical science, with the potential to make significant contributions to biomedical applications. This statistical framework facilitates the development of new ...
Connectivity Regression [0.03%]
连通性回归模型
Neel Desai,Veera Baladandayuthapani,Russell T Shinohara et al.
Neel Desai et al.
Assessing how brain functional connectivity networks vary across individuals promises to uncover important scientific questions such as patterns of healthy brain aging through the lifespan or dysconnectivity associated with disease. In this...