Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates [0.03%]
具有纵向协变量的生存分析的半参数联合建模方法研究
Wensheng Guo,Tianhao Wang
Wensheng Guo
Characterizing the association between survival time and the dynamic patterns of a longitudinal covariate trajectory is of particular interest in many studies. Classical time-dependent survival models focus mainly on the link between the co...
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference [0.03%]
大规模联合数据的降维：统计速率和渐近推断
Shuting Shen,Junwei Lu,Xihong Lin
Shuting Shen
In light of the rapidly growing large-scale data in federated ecosystems, the traditional principal component analysis (PCA) is often not applicable due to privacy protection considerations and large computational burden. Algorithms were pr...
Facilitating Heterogeneous Effect Estimation via Statistically Efficient Categorical Modifiers [0.03%]
通过统计高效类别修饰符促进异质性效应估计
Daniel R Kowal
Daniel R Kowal
Categorical covariates such as race, sex, or group are ubiquitous in regression analysis. While main-only (or ANCOVA) linear models are predominant, linear models that include categorical-continuous or categorical-categorical interactions a...
Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data [0.03%]
基于重复半连续数据估计长期趋势的非参数密度方法
Félix Camirand Lemyre,Raymond J Carroll,Aurore Delaigle
Félix Camirand Lemyre
We consider nonparametric estimation of the density of the long-term trend of a semicontinuous variable observed repeatedly over time. These variables arise when measuring the intensity of an intermittent phenomenon, such as the intake of a...
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Clinicogenomic Data [0.03%]
高维多平台clinicogenomic数据的功能整合贝叶斯分析
Rupam Bhattacharyya,Nicholas C Henderson,Veerabhadran Baladandayuthapani
Rupam Bhattacharyya
Rapid advancements in collection and dissemination of multi-platform molecular and genomics data has resulted in enormous opportunities to aggregate such data in order to understand, prevent, and treat human diseases. While significant impr...
SMART-MC: Characterizing the Dynamics of Multiple Sclerosis Therapy Transitions Using a Covariate-Based Markov Model [0.03%]
基于协变量的马尔可夫模型在多发性硬化症治疗转换动态特征研究中的应用(SMART-MC)
Beomchang Kim,Zongqi Xia,Priyam Das
Beomchang Kim
Treatment switching is a common occurrence in the management of Multiple Sclerosis (MS), where patients transition across various disease-modifying therapies (DMTs) due to heterogeneous treatment responses, differences in disease progressio...
Yuliang Xu,Timothy D Johnson,Mary Heitzeg et al.
Yuliang Xu et al.
Mediation analysis aims to separate the indirect effect through mediators from the direct effect of the exposure on the outcome. It is challenging to perform mediation analysis with neuroimaging data which involves high dimensionality, comp...
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis [0.03%]
用于人群规模神经影像数据分析的可扩展贝叶斯图像标量回归方法
Yuliang Xu,Timothy D Johnson,Thomas E Nichols et al.
Yuliang Xu et al.
Bayesian Image-on-Scalar Regression (ISR) provides flexible, uncertainty-aware neuroimaging analysis. However, applying ISR to large-scale datasets such as the UK Biobank is challenging due to intensive computational demands and the need to...
Changwoo J Lee,Benjamin K Dahl,Otso Ovaskainen et al.
Changwoo J Lee et al.
Beta regression is used routinely for continuous proportional data, but it often encounters practical issues such as a lack of robustness to misspecification of the beta distribution and sensitivity to outliers. We develop an improved class...
Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface [0.03%]
基于ERP的脑计算机接口中转移学习的贝叶斯信号匹配方法研究
Tianwen Ma,Jane E Huggins,Jian Kang
Tianwen Ma
An Event-Related Potential (ERP)-based Brain-Computer Interface (BCI) Speller System assists people with disabilities to communicate by decoding electroencephalogram (EEG) signals. A P300-ERP embedded in EEG signals arises in response to a ...