Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach [0.03%]
模型化暴露缓冲区和风险中的空间异质性：层次贝叶斯方法
Saskia Comess,Daniel E Ho,Joshua L Warren
Saskia Comess
Place-based epidemiology studies often rely on circular buffers to define 'exposure' to spatially distributed risk factors, where the buffer radius represents a threshold beyond which exposure does not influence the outcome of interest. Thi...
Estimating the causal effects of multiple intermittent treatments with application to COVID-19 [0.03%]
用于估计间歇性治疗的因果效应以及在COVID-19方面的应用
Liangyuan Hu,Jiayi Ji,Himanshu Joshi et al.
Liangyuan Hu et al.
To draw real-world evidence about the comparative effectiveness of multiple time-varying treatments on patient survival, we develop a joint marginal structural survival model and a novel weighting strategy to account for time-varying confou...
Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration [0.03%]
精准精神医学：通过数据整合预测抑郁症的异质性治疗效果
Carly L Brantner,Trang Quynh Nguyen,Harsh Parikh et al.
Carly L Brantner et al.
When treating depression, clinicians are interested in determining the optimal treatment for a given patient, which is challenging given the amount of treatments available. To advance individualized treatment allocation, integrating data ac...
Joint modelling of competing risks and current status data: an application to a spontaneous labour study [0.03%]
竞争风险和当前状态数据的联合建模：一项关于自发性分娩的研究的应用
Youjin Lee,Mei-Cheng Wang,Katherine L Grantz et al.
Youjin Lee et al.
The second stage of labour begins when the cervix is fully dilated and pushing begins until the fetus is delivered. A Caesarean delivery (CD) or operative vaginal delivery (OVD) is typically encouraged after the recommended time set by 'exp...
Robust sparse Bayesian regression for longitudinal gene-environment interactions [0.03%]
稳健的稀疏贝叶斯回归在纵向基因与环境相互作用中的应用
Kun Fan,Yu Jiang,Shuangge Ma et al.
Kun Fan et al.
In longitudinal studies, repeated measure analysis of variance (ANOVA) is a classical analysis where selecting important main and interaction effects for accurate estimation and prediction is among one of its central goals. With high-dimens...
Statistical methods for cost-effectiveness analysis of left-truncated and right-censored survival data with treatment delays [0.03%]
具有治疗延迟的左截断和右删失生存数据的成本效果分析统计方法
Polyna Khudyakov,Li Xu,Ce Yang et al.
Polyna Khudyakov et al.
The incremental cost-effectiveness ratio (ICER) and incremental net benefit (INB) are widely used for cost-effectiveness analysis. We develop methods for estimation and inference for the ICER and INB which use the semiparametric stratified ...
A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity [0.03%]
一种基于患者相似性的贝叶斯方法在胸腔癌症免疫学中预测预后生物标志物的推断中的应用研究
Duo Yu,Meilin Huang,Michael J Kane et al.
Duo Yu et al.
This paper introduces a novel statistical methodology integrating machine learning (ML) and Bayesian modelling to facilitate personalized prognostic predictions with application to oncology. Utilizing power priors, we construct 'patient-sim...
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome [0.03%]
纠正暴露测量误差引起的偏差在生存结果的中介分析中的应用
Chao Cheng,Donna Spiegelman,Fan Li
Chao Cheng
We investigate the impact of exposure measurement error on assessing mediation with a survival outcome modelled by Cox regression. We first derive the bias formulas of natural indirect and direct effects with a rare outcome and no exposure-...
Synergistic self-learning approach to establishing individualized treatment rules from multiple benefit outcomes in a calcium supplementation trial [0.03%]
一种协同的自我学习方法，可从钙补充试验的多个获益结果中建立个体化治疗方案
Yiwang Zhou,Peter X K Song
Yiwang Zhou
In utero lead exposure poses risks to children's neurobehavioral development. The Early Life Exposure in Mexico to ENvironmental Toxicants' calcium supplementation trial studies the effect of calcium supplement in reducing maternal lead exp...
Building absolute breast cancer risk prediction models for women treated with chest radiation for Hodgkin lymphoma [0.03%]
霍奇金淋巴瘤胸部放疗女性患者乳腺癌绝对风险预测模型的建立
Sander Roberti,Flora E van Leeuwen,Michael Hauptmann et al.
Sander Roberti et al.
We built models to predict absolute breast cancer (BC) risk in women treated with radiotherapy for Hodgkin lymphoma (HL). We first estimated relative risks (RRs) for risk factors, including radiation dose to 10 breast segments to accommodat...