Protocol - Evaluating the Effect of ACA Medicaid Expansion on Mortality During the COVID-19 Pandemic Using County-level Matching [0.03%]
使用县级匹配评估ACA医疗补助扩展对COVID-19大流行期间死亡率的影响的方法学方案
Charlotte Z Mann,Ben B Hansen,Lauren Gaydosh et al.
Charlotte Z Mann et al.
States are able to choose whether to expand Medicaid as part of the Affordable Care Act (ACA); thus it is of interest to understand the impact of this policy choice. In this protocol, we outline a study on the impact of Medicaid expansion a...
Bo Zhang,Michael G Hudgens,M Elizabeth Halloran
Bo Zhang
Rosenbaum and Rubin's (1983) propensity score revolutionized the field of causal inference and has emerged as a standard tool when researchers reason about cause-and-effect relationship across many disciplines. This discussion centers aroun...
Leveraging Contact Network Information in Clustered Randomized Studies of Contagion Processes [0.03%]
利用集群随机化研究中接触网络信息的研究传染过程
Maxwell H Wang,Patrick Staples,Mélanie Prague et al.
Maxwell H Wang et al.
In a randomized study, leveraging covariates related to the outcome (e.g. disease status) may produce less variable estimates of the effect of exposure. For contagion processes operating on a contact network, transmission can only occur thr...
Beyond Two Cultures: Cultural Infrastructure for Data-driven Decision Support [0.03%]
超越两种文化：数据驱动决策支持的文化基础
Nikki L B Freeman,John Sperger,Helal El-Zaatari et al.
Nikki L B Freeman et al.
In the twenty years since Dr. Leo Breiman's incendiary paper Statistical Modeling: The Two Cultures was first published, algorithmic modeling techniques have gone from controversial to commonplace in the statistical community. While the wid...
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms [0.03%]
跨越三种文化的考量：参数回归、可解释的算法和复杂的算法
Ani Eloyan,Sherri Rose
Ani Eloyan
We consider an extension of Leo Breiman's thesis from "Statistical Modeling: The Two Cultures" to include a bifurcation of algorithmic modeling, focusing on parametric regressions, interpretable algorithms, and complex (possibly explainable...
Instrumental variable approach for estimating a causal hazard ratio: application to the effect of postmastectomy radiotherapy on breast cancer patients [0.03%]
工具变量法估计因果危险比及其在乳腺癌患者术后放疗效果评价中的应用
Fan Yang,Jing Cheng,Dezheng Huo
Fan Yang
The use of postmastectomy radiotherapy (PMRT) on women with AJCC (American Joint Committee on Cancer) pT1-2pN1 breast cancer is controversial in practice. Huo et al. (2015) found that PMRT was associated with longer survival among a high-ri...
Semi-parametric Estimation of Biomarker Age Trends with Endogenous Medication Use in Longitudinal Data [0.03%]
纵向数据中生物标志物随年龄变化的半参数估计及其内生性医学使用的处理
Andrew J Spieker,Joseph A C Delaney,Robyn L McClelland
Andrew J Spieker
In cohort studies, non-random medication use can pose barriers to estimation of the natural history trend in a mean biomarker value-namely, the association between a predictor of interest and a biomarker outcome that would be observed in th...
The START study: An evaluation to study the impact of a natural experiment in high school start times on adolescent weight and related behaviors [0.03%]
一项关于初中上课时间的自然实验对学生体重及有关行为的影响评估研究.START研究
Rachel Widome,Kyla L Wahlstrom,Melissa N Laska et al.
Rachel Widome et al.
Background: Research has shown that early high school start times, which are asynchronous with adolescent biology, are one of the most significant obstacles to youth being able to net sufficient sleep. Given that adolesce...
A Difference-in-Difference Study Evaluating the Effect of Minimum Wage Policy on Body Mass Index and Related Health Behaviors [0.03%]
最小工资政策对体质指数和相关健康行为影响的双重差分法评估研究
Caitlin E Caspi,Molly De Marco,Thomas Durfee et al.
Caitlin E Caspi et al.
Minimum wage laws are a promising policy lever to promote health equity, but few rigorous evaluations have tested whether and how minimum wage policy affects health outcomes. This paper describes an ongoing difference-in-difference study ev...
Patient Centered Hazard Ratio Estimation Using Principal Stratification Weights: Application to the NORCCAP Randomized Trial of Colorectal Cancer Screening [0.03%]
基于主 stratification 权重的以患者为中心的危险比估计及其在结直肠癌筛查随机对照试验中的应用（英文）
Todd A MacKenzie,Magnus Løberg,A James O&#x;Malley
Todd A MacKenzie
In randomized trials, the most commonly reported method of effect estimation is intention-to-treat (ITT), and to a lesser extent the per-protocol. The ITT is preferred because it is an unbiased estimator of the effect of treatment assignmen...