A flexible class of latent variable models for the analysis of antibody response data [0.03%]
一种用于抗体反应数据分析的灵活潜变量模型类
Emanuele Giorgi,Jonas Wallin
Emanuele Giorgi
Existing approaches to modelling antibody concentration data are mostly based on finite mixture models that rely on the assumption that individuals can be divided into 2 distinct groups: seronegative and seropositive. Here, we challenge thi...
A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: applications to a cohort stepped wedge trial [0.03%]
一种敏感性分析方法在主要分层中的应用：以纵向连续中间结果为特征的队列分阶段试验中的应用研究
Lei Yang,Michael J Daniels,Fan Li
Lei Yang
Causal inference in the presence of intermediate variables is a challenging problem in many applications. Principal stratification (PS) provides a framework to estimate principal causal effects (PCE) in such settings. However, existing PS m...
Lu Xia,Ali Shojaie
Lu Xia
Regression analysis of correlated data, where multiple correlated responses are recorded on the same unit, is ubiquitous in many scientific areas. With the advent of new technologies, in particular high-throughput omics profiling assays, su...
SAM-HC: a Bayesian nonparametric construction of hybrid control for randomized clinical trials using external data [0.03%]
基于外部数据的临床试验中随机对照试验的贝叶斯非参数杂交控制构建模型 SAM-HC
Dehua Bi,Tianjian Zhou,Wei Zhong et al.
Dehua Bi et al.
In situations where high-quality external data are available or when it is challenging to recruit participants to the control arm of a randomized and controlled clinical trial (eg rare or pediatric diseases), it is desirable to borrow infor...
Dynamic case-control sampling for rapid estimation of vaccine effectiveness against an emerging infectious disease variant [0.03%]
动态病例对照抽样在快速估计疫苗对新发传染病变异株效力方面的应用
Taylor M Fortnam,Laura C Chambers,Alyssa Bilinski et al.
Taylor M Fortnam et al.
New SARS-CoV-2 variants arise frequently with different viral properties that can impact the effectiveness of the vaccines. Updating estimates of vaccine effectiveness (VE) in public health surveillance can be limited by the necessity of co...
Borrowing from historical control data in a Bayesian time-to-event model with flexible baseline hazard function [0.03%]
带有灵活基线风险函数的贝叶斯生存模型中借历史对照数据的方法
Darren A V Scott,Alex Lewin
Darren A V Scott
Currently, there is a focus on statistical methods that can use historical trial information to help accelerate the discovery, development, and delivery of medicines. Bayesian methods enable "dynamic" borrowing, allowing the similarity betw...
Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition [0.03%]
基于监督低秩张量分解的高维纵向数据和生存数据联合建模方法研究
Mohammad Samsul Alam,Rima Kaddurah-Daouk,Sheng Luo
Mohammad Samsul Alam
High-dimensional longitudinal data are increasingly available in biomedical research, especially from omics platforms, but pose substantial challenges for joint modeling with survival outcomes. These challenges include modeling complex temp...
A doubly robust framework for addressing outcome-dependent selection bias in multi-cohort EHR studies [0.03%]
一种用于解决多队列电子健康记录研究中结果依赖的选择偏差的双重稳健框架
Ritoban Kundu,Xu Shi,Michael Kleinsasser et al.
Ritoban Kundu et al.
Selection bias can hinder accurate estimation of association parameters in binary disease risk models using non-probability samples like electronic health records (EHRs). The issue is compounded when participants are recruited from multiple...
Jessie K Edwards,Stephen R Cole,Paul N Zivich et al.
Jessie K Edwards et al.
Mortality risk estimated from studies that ascertain date of death through linkage to vital statistics registries may be subject to outcome measurement error. As a result, some deaths among study participants may not be captured, some study...
Bonnie B Smith,Abhirup Datta,Brian Caffo
Bonnie B Smith
A number of domains in biomedical research use data with a large number of predictors all representing the same type of measurement. Often, an important summary is the within-person distribution of these predictors. Here we focus on setting...