Neural Network for Correlated Survival Outcomes Using Frailty Model [0.03%]
基于脆弱性模型的生存分析相关结局神经网络方法研究
Ruiwen Zhou,Kevin He,Di Wang et al.
Ruiwen Zhou et al.
Extensive literature has been proposed for the analysis of correlated survival data. Subjects within a cluster share some common characteristics, e.g., genetic and environmental factors, so their time-to-event outcomes are correlated. The f...
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior [0.03%]
基于混合高斯先验的大规模预训练变压器模型的幅度剪枝
Mingxuan Zhang,Yan Sun,Faming Liang
Mingxuan Zhang
Large pretrained transformer models have revolutionized modern AI applications with their state-of-the-art performance in natural language processing (NLP). However, their substantial parameter count poses challenges for real-world deployme...
EMixed: Probabilistic Multi-Omics Cellular Deconvolution of Bulk Omics Data [0.03%]
基于概率的多组学 bulk 数据细胞去卷积方法
Manqi Cai,Kangyi Zhao,Penghui Huang et al.
Manqi Cai et al.
Cellular deconvolution is a key approach to deciphering the complex cellular makeup of tissues by inferring the composition of cell types from bulk data. Traditionally, deconvolution methods have focused on a single molecular modality, rely...
A Meta-Learner Framework to Estimate Individualized Treatment Effects for Survival Outcomes [0.03%]
一种用于生存结局的个体治疗效应估计的元学习框架
Na Bo,Yue Wei,Lang Zeng et al.
Na Bo et al.
One crucial aspect of precision medicine is to allow physicians to recommend the most suitable treatment for their patients. This requires understanding the treatment heterogeneity from a patient-centric view, quantified by estimating the i...
An Innovative Method of Singular Spectrum Analysis to Conduct Gap-filling and Denoising on Time Series Data [0.03%]
一种新颖的 singular spectrum analysis 方法实现时间序列数据的填充和去噪
James J Yang,Anne Buu
James J Yang
Heart rate data collected from wearable devices - one type of time series data - could provide insights into activities, stress levels, and health. Yet, consecutive missing segments (i.e., gaps) that commonly occur due to improper device pl...
Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases [0.03%]
用于医疗数据库自动分组的文本网络可扩展社区提取方法
Tomilayo Komolafe,Allan Fong,Srijan Sengupta
Tomilayo Komolafe
Networks are ubiquitous in today's world. Community structure is a well-known feature of many empirical networks, and a lot of statistical methods have been developed for community detection. In this paper, we consider the problem of commun...
Central Posterior Envelopes for Bayesian Functional Principal Component Analysis [0.03%]
贝叶斯功能主成分分析的中央后包涵式
Joanna Boland,Donatello Telesca,Catherine Sugar et al.
Joanna Boland et al.
Bayesian methods provide direct inference in functional data analysis applications without reliance on bootstrap techniques. A major tool in functional data applications is the functional principal component analysis which decomposes the da...
Modeling County-Level Rare Disease Prevalence Using Bayesian Hierarchical Sampling Weighted Zero-Inflated Regression [0.03%]
基于Bayesian分层抽样加权零膨胀回归的县域罕见病患病率模型式研究方法论探索
Hui Xie,Deborah B Rolka,Lawrence E Barker
Hui Xie
Estimates of county-level disease prevalence have a variety of applications. Such estimation is often done via model-based small-area estimation using survey data. However, for conditions with low prevalence (i.e., rare diseases or newly di...
Maximum Likelihood Estimation for Shape-restricted Single-index Hazard Models [0.03%]
单指标风险形状限制模型的极大似然估计方法研究
Jing Qin,Yifei Sun,Ao Yuan et al.
Jing Qin et al.
Single-index models are becoming increasingly popular in many scientific applications as they offer the advantages of flexibility in regression modeling as well as interpretable covariate effects. In the context of survival analysis, the si...
Optimal Physician Shared-Patient Networks and the Diffusion of Medical Technologies [0.03%]
最优的医师共管患者网络和医学技术的扩散
A James O&#x;Malley,Xin Ran,Chuankai An et al.
A James O&#x;Malley et al.
Social network analysis has created a productive framework for the analysis of the histories of patient-physician interactions and physician collaboration. Notable is the construction of networks based on the data of "referral paths" - sequ...