The impact of coarsening an exposure on partial identifiability in instrumental variable settings [0.03%]
工具变量设置下暴露因素变粗对部分可识别性的影响分析
Erin E Gabriel,Michael C Sachs,Arvid Sjölander
Erin E Gabriel
In instrumental variable (IV) settings, such as imperfect randomized trials and observational studies with Mendelian randomization, one may encounter a continuous exposure, the causal effect of which is not of true interest. Instead, scient...
Selection processes, transportability, and failure time analysis in life history studies [0.03%]
生命史研究中的选择性过程、可传输性和失效时间分析
Richard J Cook,Jerald F Lawless
Richard J Cook
In life history analysis of data from cohort studies, it is important to address the process by which participants are identified and selected. Many health studies select or enrol individuals based on whether they have experienced certain h...
Álvaro Méndez-Civieta,Ying Wei,Keith M Diaz et al.
Álvaro Méndez-Civieta et al.
This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quan...
Shared parameter modeling of longitudinal data allowing for possibly informative visiting process and terminal event [0.03%]
考虑访问过程可能具有信息量和终事件的纵向数据分析的共享参数模型
Christos Thomadakis,Loukia Meligkotsidou,Nikos Pantazis et al.
Christos Thomadakis et al.
Joint modeling of longitudinal and time-to-event data, particularly through shared parameter models (SPMs), is a common approach for handling longitudinal marker data with an informative terminal event. A critical but often neglected assump...
Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting [0.03%]
利用交叉拟合加速基于高维中介变量的R2中介效应区间估计的速度
Zhichao Xu,Chunlin Li,Sunyi Chi et al.
Zhichao Xu et al.
Mediation analysis is a useful tool in investigating how molecular phenotypes such as gene expression mediate the effect of exposure on health outcomes. However, commonly used mean-based total mediation effect measures may suffer from cance...
A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology [0.03%]
一种可扩展的两阶段贝叶斯方法，用于考虑环境流行病学中的暴露测量误差
Changwoo J Lee,Elaine Symanski,Amal Rammah et al.
Changwoo J Lee et al.
Accounting for exposure measurement errors has been recognized as a crucial problem in environmental epidemiology for over two decades. Bayesian hierarchical models offer a coherent probabilistic framework for evaluating associations betwee...
A Bayesian pharmacokinetics integrated phase I-II design to optimize dose-schedule regimes [0.03%]
贝叶斯药代动力学综合I-II期试验设计用于优化剂量-施用周期方案
Mengyi Lu,Ying Yuan,Suyu Liu
Mengyi Lu
The schedule of administering a drug has profound impact on the toxicity and efficacy profiles of the drug through changing its pharmacokinetics (PK). PK is an innate and indispensable component of the dose-schedule optimization. Motivated ...
Dynamic and concordance-assisted learning for risk stratification with application to Alzheimer's disease [0.03%]
阿尔茨海默病风险分层的动态和协同辅助学习方法研究
Wen Li,Ruosha Li,Ziding Feng et al.
Wen Li et al.
Dynamic prediction models capable of retaining accuracy by evolving over time could play a significant role for monitoring disease progression in clinical practice. In biomedical studies with long-term follow up, participants are often moni...
On the Addams family of discrete frailty distributions for modeling multivariate case I interval-censored data [0.03%]
用于建模多变量病例I区间审查数据的离散脆弱性分布族的附加姆斯家族
Maximilian Bardo,Niel Hens,Steffen Unkel
Maximilian Bardo
Random effect models for time-to-event data, also known as frailty models, provide a conceptually appealing way of quantifying association between survival times and of representing heterogeneities resulting from factors which may be diffic...
Pooling controls from nested case-control studies with the proportional risks model [0.03%]
利用比例危险模型从嵌套病例对照研究中汇集队列数据
Yen Chang,Anastasia Ivanova,Demetrius Albanes et al.
Yen Chang et al.
The standard approach to regression modeling for cause-specific hazards with prospective competing risks data specifies separate models for each failure type. An alternative proposed by Lunn and McNeil (1995) assumes the cause-specific haza...