Dean M Resnick,Christine S Cox,Lisa B Mirel
Dean M Resnick
While record linkage can expand analyses performable from survey microdata, it also incurs greater risk of privacy-encroaching disclosure. One way to mitigate this risk is to replace some of the information added through linkage with synthe...
The use of segmented regression for evaluation of an interrupted time series study involving complex intervention: the CaPSAI project experience [0.03%]
分段回归在涉及复杂干预的中断时间序列研究中的应用：CaPSAI项目的经验
Ndema Habib,Petrus S Steyn,Victoria Boydell et al.
Ndema Habib et al.
An interrupted time series with a parallel control group (ITS-CG) design is a powerful quasi-experimental design commonly used to evaluate the effectiveness of an intervention, on accelerating uptake of useful public health products, and ca...
Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures [0.03%]
基于熵平衡权重的连续型处理变量的群体平均剂量-反应曲线估计方法
Brian G Vegetabile,Beth Ann Griffin,Donna L Coffman et al.
Brian G Vegetabile et al.
Weighted estimators are commonly used for estimating exposure effects in observational settings to establish causal relations. These estimators have a long history of development when the exposure of interest is binary and where the weights...
Application of pooled testing in estimating the prevalence of COVID-19 [0.03%]
混合检测在估计COVID-19患病率中的应用
Pritha Guha,Apratim Guha,Tathagata Bandyopadhyay
Pritha Guha
Testing at a mass scale has been widely accepted as an effective way to contain the spread of the SARS-CoV-2 Virus. In the initial stages, the shortage of test kits severely restricted mass-scale testing. Pooled testing was offered as a par...
Characterizing Bias Due to Differential Exposure Ascertainment in Electronic Health Record Data [0.03%]
基于电子健康记录数据的差异化暴露评估导致偏差的特征分析
Rebecca A Hubbard,Elle Lett,Gloria Y F Ho et al.
Rebecca A Hubbard et al.
Data derived from electronic health records (EHR) are heterogeneous with availability of specific measures dependent on the type and timing of patients' healthcare interactions. This creates a challenge for research using EHR-derived exposu...
A multivariate spatio-temporal model of the opioid epidemic in Ohio: A factor model approach [0.03%]
美国俄亥俄州阿片类药物流行病的多元时空模型：因子模型方法
David Kline,Yixuan Ji,Staci Hepler
David Kline
Opioid misuse is a significant public health issue and a national epidemic with a high prevalence of associated morbidity and mortality. The epidemic is particularly severe in Ohio which has some of the highest overdose rates in the country...
Assessing consistency among indices to measure socioeconomic barriers to health care access [0.03%]
评估用于衡量卫生保健准入社会经济障碍的指数之间一致性的方法
Jamison Conley,Insu Hong,Amber Williams et al.
Jamison Conley et al.
Many places within rural America lack ready access to health care facilities. Barriers to access can be both spatial and non-spatial. Measurements of spatial access, such as the Enhanced Floating 2-Step Catchment Area and other floating cat...
Brett Lissenden,Rebecca S Lewis,Kristen C Giombi et al.
Brett Lissenden et al.
The U.S. federal government is spending billions of dollars to test a multitude of new approaches to pay for healthcare. Unintended consequences are a major consideration in the testing of these value-based payment (VBP) models. Since parti...
Identifying Cohabiting Couples in Administrative Data: Evidence from Medicare Address Data [0.03%]
运用医疗保险地址数据识别同居关系：证据来源 Medicare 地址数据
Sasmira Matta,Joanne W Hsu,Theodore J Iwashyna et al.
Sasmira Matta et al.
Marital status is recognized as an important social determinant of health, income, and social support, but is rarely available in administrative data. We assessed the feasibility of using exact address data and zip code history to identify ...
Bias Reduction Methods for Propensity Scores Estimated from Error-Prone EHR-Derived Covariates [0.03%]
基于不准确的电子健康记录派生协变量估计倾向得分的偏差校正方法
Joanna Harton,Ronac Mamtani,Nandita Mitra et al.
Joanna Harton et al.
As the use of electronic health records (EHR) to estimate treatment effects has become widespread, concern about bias introduced by error in EHR-derived covariates has also grown. While methods exist to address measurement error in individu...