A hierarchical meta-analysis for settings involving multiple outcomes across multiple cohorts [0.03%]
多重结果下的多项队列研究的分层meta分析方法
Tugba Akkaya Hocagil,Louise M Ryan,Richard J Cook et al.
Tugba Akkaya Hocagil et al.
Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure (PAE) to a broad range of long-term cognitive and behavioural deficits. However, there is a paucity of evidence regarding the nature and levels of ...
A comprehensive survey of collaborative biostatistics units in academic health centers [0.03%]
学术医学中心协作生物统计单位的全面调查
Alexandra L Hanlon,Alicia J Lozano,Swathi Prakash et al.
Alexandra L Hanlon et al.
The organizational structures of collaborative biostatistics units in academic health centers (AHCs) in the United States and their important contributions to research are an evolving and active area of discussion and inquiry. Collaborative...
A modified SEIR model with a jump in the transmission parameter applied to COVID-19 data on Wuhan [0.03%]
带有传染参数跃变的改进SEIR模型及其在武汉冠状病毒数据上的应用
Tian Bai,Dianpeng Wang,Wenlin Dai
Tian Bai
In December 2019, Wuhan, the capital of Hubei Province, was struck by an outbreak of COVID-19. Numerous studies have been conducted to fit COVID-19 data and make statistical inferences. In applications, functions of the parameters in the mo...
The development of a mobile app-focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials [0.03%]
针对Apple心脏研究的移动应用程序聚焦的重复数据删除策略的发展，以对未来数字试验的建议提供信息
Ariadna Garcia,Justin Lee,Vidhya Balasubramanian et al.
Ariadna Garcia et al.
An app-based clinical trial enrolment process can contribute to duplicated records, carrying data management implications. Our objective was to identify duplicated records in real time in the Apple Heart Study (AHS). We leveraged personal i...
Biclustering of medical monitoring data using a nonparametric hierarchical Bayesian model [0.03%]
基于非参数层次贝叶斯模型的医学监控数据的双聚类算法
Yan Ren,Siva Sivaganesan,Mekibib Altaye et al.
Yan Ren et al.
In longitudinal studies in which a medical device is used to monitor outcome repeatedly and frequently on the same patients over a prespecified duration of time, two clustering goals can arise. One goal is to assess the degree of heterogene...
A spatiotemporal case-crossover model of asthma exacerbation in the City of Houston [0.03%]
基于休斯顿城市哮喘加重的时空条件交叉模型
Julia C Schedler,Katherine B Ensor
Julia C Schedler
Case-crossover design is a popular construction for analyzing the impact of a transient effect, such as ambient pollution levels, on an acute outcome, such as an asthma exacerbation. Case-crossover design avoids the need to model individual...
Bayesian nonparametric multiway regression for clustered binomial data [0.03%]
分层二项式数据的贝叶斯非参数多变量回归方法
Eric F Lock,Dipankar Bandyopadhyay
Eric F Lock
We introduce a Bayesian nonparametric regression model for data with multiway (tensor) structure, motivated by an application to periodontal disease (PD) data. Our outcome is the number of diseased sites measured over four different tooth t...
Stochastic actor-oriented modelling of the impact of COVID-19 on financial network evolution [0.03%]
基于随机作用者的COVID-19对金融网络演化影响的模型研究
Amanda M Y Chu,Lupe S H Chan,Mike K P So
Amanda M Y Chu
The coronavirus disease 2019 (COVID-19) pandemic has led to tremendous loss of human life and has severe social and economic impacts worldwide. The spread of the disease has also caused dramatic uncertainty in financial markets, especially ...
A mutual information criterion with applications to canonical correlation analysis and graphical models [0.03%]
互信息准则及其在典型相关分析和图形模型中的应用
Timothy DelSole,Michael K Tippett
Timothy DelSole
This paper derives a criterion for deciding conditional independence that is consistent with small-sample corrections of Akaike's information criterion but is easier to apply to such problems as selecting variables in canonical correlation ...
Cai Li,Luo Xiao,Sheng Luo
Cai Li
Covariance estimation is essential yet underdeveloped for analyzing multivariate functional data. We propose a fast covariance estimation method for multivariate sparse functional data using bivariate penalized splines. The tensor-product B...