Bayesian multivariate probability of success using historical data with type I error rate control [0.03%]
基于Ⅰ类错误率控制的历史数据贝叶斯多元成功概率方法研究
Ethan M Alt,Matthew A Psioda,Joseph G Ibrahim
Ethan M Alt
In clinical trials, it is common to have multiple clinical outcomes (e.g., coprimary endpoints or a primary and multiple secondary endpoints). It is often desirable to establish efficacy in at least one of multiple clinical outcomes, which ...
Individual participant data meta-analysis with mixed-effects transformation models [0.03%]
混合效应变换模型的个体参与者数据Meta分析
Bálint Tamási,Michael Crowther,Milo Alan Puhan et al.
Bálint Tamási et al.
One-stage meta-analysis of individual participant data (IPD) poses several statistical and computational challenges. For time-to-event outcomes, the approach requires the estimation of complicated nonlinear mixed-effects models that are fle...
David S Clausen,Amy D Willis
David S Clausen
High-throughput sequencing is widely used to study microbial communities. However, choice of laboratory protocol is known to affect the resulting microbiome data, which has an unquantified impact on many comparisons between communities of s...
Daniel Nevo,Malka Gorfine
Daniel Nevo
The causal effects of Apolipoprotein E $/epsilon4$ allele (APOE) on late-onset Alzheimer's disease (AD) and death are complicated to define because AD may occur under one intervention but not under the other, and because AD occurrence may a...
Integrated causal-predictive machine learning models for tropical cyclone epidemiology [0.03%]
综合性因果预测机器学习模型在热带气旋流行病学中的应用
Rachel C Nethery,Nina Katz-Christy,Marianthi-Anna Kioumourtzoglou et al.
Rachel C Nethery et al.
Strategic preparedness reduces the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protective impact could be enhanced by a more comprehensive and rigorous characterizat...
Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women [0.03%]
多元贝叶斯时空P样条模型在分析针对女性犯罪中的应用
Gonzalo Vicente,Tomás Goicoa,María Dolores Ugarte
Gonzalo Vicente
Univariate spatio-temporal models for areal count data have received great attention in recent years for estimating risks. However, models for studying multivariate responses are less commonly used mainly due to the computational burden. In...
Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials [0.03%]
改进集群随机试验偏差和效率的两阶段TMLE方法
Laura B Balzer,Mark van der Laan,James Ayieko et al.
Laura B Balzer et al.
Cluster randomized trials (CRTs) randomly assign an intervention to groups of individuals (e.g., clinics or communities) and measure outcomes on individuals in those groups. While offering many advantages, this experimental design introduce...
Two-phase stratified sampling and analysis for predicting binary outcomes [0.03%]
两阶段分层抽样及分析预测二元结果的方法研究
Yaqi Cao,Sebastien Haneuse,Yingye Zheng et al.
Yaqi Cao et al.
The two-phase study design is a cost-efficient sampling strategy when certain data elements are expensive and, thus, can only be collected on a sub-sample of subjects. To date guidance on how best to allocate resources within the design has...
Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference [0.03%]
批处理效应校正对基因表达估计和推论的影响及克服方法研究
Tenglong Li,Yuqing Zhang,Prasad Patil et al.
Tenglong Li et al.
Nonignorable technical variation is commonly observed across data from multiple experimental runs, platforms, or studies. These so-called batch effects can lead to difficulty in merging data from multiple sources, as they can severely bias ...
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach [0.03%]
时间事件数据的联合脆弱性建模以揭示事件演变路径：广义线性混合模型方法
Shu Kay Ng,Richard Tawiah,Geoffrey J Mclachlan et al.
Shu Kay Ng et al.
Multimorbidity constitutes a serious challenge on the healthcare systems in the world, due to its association with poorer health-related outcomes, more complex clinical management, increases in health service utilization and costs, but a de...