Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models [0.03%]
基于动态边际结构性模型的最优个体化治疗方案的半参数贝叶斯推断方法研究
Daniel Rodriguez Duque,David A Stephens,Erica E M Moodie et al.
Daniel Rodriguez Duque et al.
Considerable statistical work done on dynamic treatment regimes (DTRs) is in the frequentist paradigm, but Bayesian methods may have much to offer in this setting as they allow for the appropriate representation and propagation of uncertain...
Randomized Controlled Trial
Biostatistics (Oxford, England). 2023 Jul 14;24(3):708-727. DOI:10.1093/biostatistics/kxac007 2023
Two-stage linked component analysis for joint decomposition of multiple biologically related data sets [0.03%]
联合分解多个生物相关数据集的两阶段连接组件分析方法
Huan Chen,Brian Caffo,Genevieve Stein-O&#x;Brien et al.
Huan Chen et al.
Integrative analysis of multiple data sets has the potential of fully leveraging the vast amount of high throughput biological data being generated. In particular such analysis will be powerful in making inference from publicly available co...
Dean A Follmann,Michael P Fay
Dean A Follmann
Vaccine trials are generally designed to assess efficacy on clinical disease. The vaccine effect on infection, while important both as a proxy for transmission and to describe a vaccine's entire effects, requires frequent (e.g., twice a wee...
Reassessing pharmacogenomic cell sensitivity with multilevel statistical models [0.03%]
基于多水平统计模型的药物基因组学细胞敏感性再评估
Matt Ploenzke,Rafael Irizarry
Matt Ploenzke
Pharmacogenomic experiments allow for the systematic testing of drugs, at varying dosage concentrations, to study how genomic markers correlate with cell sensitivity to treatment. The first step in the analysis is to quantify the response o...
Distributed Cox proportional hazards regression using summary-level information [0.03%]
基于概要信息的分布式Cox比例风险模型回归方法研究
Dongdong Li,Wenbin Lu,Di Shu et al.
Dongdong Li et al.
Individual-level data sharing across multiple sites can be infeasible due to privacy and logistical concerns. This article proposes a general distributed methodology to fit Cox proportional hazards models without sharing individual-level da...
Semisupervised Calibration of Risk with Noisy Event Times (SCORNET) using electronic health record data [0.03%]
基于电子健康记录数据的半监督风险校准(SCORNET)，用于噪声事件时间
Yuri Ahuja,Liang Liang,Doudou Zhou et al.
Yuri Ahuja et al.
Leveraging large-scale electronic health record (EHR) data to estimate survival curves for clinical events can enable more powerful risk estimation and comparative effectiveness research. However, use of EHR data is hindered by a lack of di...
Nonparametric causal mediation analysis for stochastic interventional (in)direct effects [0.03%]
非参数因果中介分析的随机干预(介导)间接效应
Nima S Hejazi,Kara E Rudolph,Mark J Van Der Laan et al.
Nima S Hejazi et al.
Causal mediation analysis has historically been limited in two important ways: (i) a focus has traditionally been placed on binary exposures and static interventions and (ii) direct and indirect effect decompositions have been pursued that ...
Separating and reintegrating latent variables to improve classification of genomic data [0.03%]
通过分离和重新整合潜在变量来改善基因组数据分类的效果
Nora Yujia Payne,Johann A Gagnon-Bartsch
Nora Yujia Payne
Genomic data sets contain the effects of various unobserved biological variables in addition to the variable of primary interest. These latent variables often affect a large number of features (e.g., genes), giving rise to dense latent vari...
Estimation and false discovery control for the analysis of environmental mixtures [0.03%]
环境混合物分析的估计和错误发现率控制
Srijata Samanta,Joseph Antonelli
Srijata Samanta
The analysis of environmental mixtures is of growing importance in environmental epidemiology, and one of the key goals in such analyses is to identify exposures and their interactions that are associated with adverse health outcomes. Typic...
A flexible Bayesian framework for individualized inference via adaptive borrowing [0.03%]
一种通过自适应借用实现个体化推断的灵活贝叶斯框架
Ziyu Ji,Julian Wolfson
Ziyu Ji
The explosion in high-resolution data capture technologies in health has increased interest in making inferences about individual-level parameters. While technology may provide substantial data on a single individual, how best to use multis...