Estimating an intervention's effects on health care disparities within and between physician organizations: decomposing the effects of health system affiliation [0.03%]
估算介入措施对医疗卫生体系内部和之间医疗差异的影响：分解卫生系统隶属关系的影响
Maria DeYoreo,Denis Agniel,Shiyuan Zhang et al.
Maria DeYoreo et al.
Vertically integrated health systems are expanding across the U.S., but there is no evidence that system-affiliated providers are better able to reduce socioeconomic disparities than unaffiliated providers. This paper develops and interpret...
Gaming the System: Evaluating Spillover in a Video Game Intervention for Advance Care Planning using Physician Social Networks [0.03%]
利用医生社会关系网评估视频游戏干预在预先护理规划中的溢出效应
Carly A Bobak,Deepika Mohan,Megan A Murphy et al.
Carly A Bobak et al.
Stepped-wedge cluster-randomized trials (SW-CRTs) are increasingly used to evaluate healthcare interventions, yet contamination arising from professional collaboration remains an underappreciated threat to valid inference. We examined spill...
A causal framework for evaluating drivers of policy effect heterogeneity using difference-in-differences [0.03%]
一种用于使用差异在差异评估政策效果异质驱动因素的因果框架
Gary Hettinger,Youjin Lee,Nandita Mitra
Gary Hettinger
Policymakers and researchers often seek to understand how a policy differentially affects a population and the pathways driving this heterogeneity. For example, when studying an excise tax on sweetened beverages, researchers might assess th...
Choosing an analytic approach: key study design considerations in state policy evaluation [0.03%]
选择分析方法：州级政策评估中的关键研究设计考量因素
Elizabeth M Stone,Megan S Schuler,Elizabeth A Stuart et al.
Elizabeth M Stone et al.
This paper reviews and details methods for state policy evaluation to guide selection of a research approach, based on an evaluation's setting and available data. We highlight key design considerations for an analysis, including treatment a...
The challenges of integrating diverse data sources: A case study in major depression [0.03%]
整合多元数据源的挑战——以重度抑郁障碍为例
Carly L Brantner,Wenshan Yu,Congwen Zhao et al.
Carly L Brantner et al.
Combining data from diverse sources including randomized controlled trials (RCTs) and observational datasets holds the potential to increase sample size, improve external validity, and gain a well-rounded view of the question under study. H...
Chuanling Qin,Curtis Peterson,William B Weeks et al.
Chuanling Qin et al.
Despite the rapid advancement of machine learning algorithms, the important problem of distinguishing patients based on the likelihood of their mortality remains a challenge. In this paper, we investigated the degree to which the incorporat...
Evaluation via simulation of statistical corrections for network nonindependence [0.03%]
基于模拟的统计纠正方法对网络非独立性的评价
Luke J Matthews,Megan S Schuler,Raffaele Vardavas et al.
Luke J Matthews et al.
Social processes and social context are increasingly recognized as key factors shaping health-related behaviors and outcomes. One social process that may be acting within social networks is social influence, in which an individual's charact...
Propensity score weighting analysis with complex survey data for estimating population-level treatment effects on survival: a simulation study [0.03%]
复杂调查数据的倾向值加权分析在估计治疗对生存影响的总体效应方面的模拟研究
Lihua Li,Chen Yang,Wei Zhang et al.
Lihua Li et al.
Propensity score weighting (PSW) is a valuable tool for estimating treatment effects on survival outcomes in observational studies. However, there is no clear best practice for applying PSW to complex survey data with survival outcomes. Thi...
Difference-in-differences analysis with repeated cross-sectional survey data [0.03%]
重复横断面调查数据的双重差分分析方法研究
Kerry Ye,Alyssa Bilinski,Youjin Lee
Kerry Ye
Difference-in-differences (DiD) approach is one of the most widely used approaches for evaluating policy effects. However, traditional DiD methods may not recover the population-level average treatment effect on the treated (ATT) in the abs...
The role of spatially varying loadings in dynamic spatial factor models for modeling the opioid syndemic [0.03%]
空间动态因子模型中时空变化载荷在建模阿片类药物流行病中的作用研究
Eva Murphy,David Kline,Staci A Hepler
Eva Murphy
Understanding the interactions and spatio-temporal variations of public health outcomes is crucial for gaining insight into interrelated epidemics across different locations and time periods. Dynamic spatial factor models provide a flexible...