Determining vaccine responders in the presence of baseline immunity using single-cell assays and paired control samples [0.03%]
基于单细胞测序和配对对照样本确定基线免疫背景下疫苗接种反应者
Zhe Chen,Siyu Heng,Asa Tapley et al.
Zhe Chen et al.
A key objective in vaccine studies is to evaluate vaccine-induced immunogenicity and determine whether participants have mounted a response to the vaccine. Cellular immune responses are essential for assessing vaccine-induced immunogenicity...
Stratification-based instrumental variable analysis framework for nonlinear effect analysis [0.03%]
分层的工具变量分析框架用于非线性效应分析
Haodong Tian,Ashish Patel,Stephen Burgess
Haodong Tian
Nonlinear causal effects are prevalent in many research scenarios involving continuous exposures, and instrumental variables (IVs) can be employed to investigate such effects, particularly in the presence of unmeasured confounders. However,...
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams [0.03%]
基于多重数据流的多状态半马尔可夫模型在区间检测终点治疗效果评价中的应用研究
Raphaël Morsomme,C Jason Liang,Allyson Mateja et al.
Raphaël Morsomme et al.
We introduce a computationally efficient and general approach for utilizing multiple, possibly interval-censored, data streams to study complex biomedical endpoints using multistate semi-Markov models. Our motivating application is the REGE...
Meta-analysis models with group structure for pleiotropy detection at gene and variant level using summary statistics from multiple datasets [0.03%]
基于多数据集总结统计信息的基因和变异位点水平上检测基因多重效应的元分析模型
Pierre-Emmanuel Sugier,Yazdan Asgari,Mohammed Sedki et al.
Pierre-Emmanuel Sugier et al.
Genome-wide association studies (GWASs) have highlighted the importance of pleiotropy in human diseases, where one gene can impact 2 or more unrelated traits. Examining shared genetic risk factors across multiple diseases can enhance our un...
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases [0.03%]
基于马尔可夫切换零膨胀时空多重贝努利模型的多种传染病比较研究
Dirk Douwes-Schultz,Alexandra M Schmidt,Laís Picinini Freitas et al.
Dirk Douwes-Schultz et al.
Univariate zero-inflated models are increasingly being used to account for excess zeros in spatio-temporal infectious disease counts. However, the multivariate case is challenging due to the need to account for correlations across space, ti...
Andrea Sottosanti,Enrico Bovo,Pietro Belloni et al.
Andrea Sottosanti et al.
Disease mapping analyses the distribution of several disease outcomes within a territory. Primary goals include identifying areas with unexpected changes in mortality rates, studying the relation among multiple diseases, and dividing the an...
Identification and estimation of mediational effects of longitudinal modified treatment policies [0.03%]
纵向修改治疗方案的中介效应的识别与估计
Brian Gilbert,Katherine Hoffman,Nicholas Williams et al.
Brian Gilbert et al.
We demonstrate a comprehensive semiparametric approach to causal mediation analysis, addressing the complexities inherent in settings with longitudinal and continuous treatments, confounders, and mediators. Our methodology utilizes a nonpar...
A filtering approach for statistical inference in a stochastic SIR model with an application to Covid-19 data [0.03%]
基于Covid-19数据的随机SIR模型统计推断的滤波方法研究
Katia Colaneri,Camilla Damian,Rüdiger Frey
Katia Colaneri
In this paper, we consider a discrete-time stochastic SIR model, where the transmission rate and the number of infectious individuals are random and unobservable. This model accounts for random fluctuations in infectiousness and for non-det...
A novel high-dimensional model for identifying regional DNA methylation QTLs [0.03%]
一种用于识别表观遗传调控新位点的高维统计模型
Kaiqiong Zhao,Archer Y Yang,Karim Oualkacha et al.
Kaiqiong Zhao et al.
Varying coefficient models offer the flexibility to learn the dynamic changes of regression coefficients. Despite their good interpretability and diverse applications, in high-dimensional settings, existing estimation methods for such model...
Bayesian model averaging for partial ordering continual reassessment methods [0.03%]
部分顺序连续检验方法的贝叶斯模型平均法
Luka Kovačević,Weishi Chen,Helen Barnett et al.
Luka Kovačević et al.
Phase I clinical trials are essential to bringing novel therapies from chemical development to widespread use. Traditional approaches to dose-finding in Phase I trials, such as the '3 + 3' method and the continual reassessment method (CRM),...