Propensity score weighting with survey weighted data when outcomes are binary: a simulation study [0.03%]
基于调查加权数据的倾向值评分权重法在二分类结果时的效果：一项模拟研究
Chen Yang,Meaghan S Cuerden,Wei Zhang et al.
Chen Yang et al.
Propensity score methods have been widely adopted in observational studies, however research on propensity score-based weighting (PSW) methods in complex survey data settings is lacking, particularly for binary outcomes. We conducted a simu...
A machine learning approach for diagnostic and prognostic predictions, key risk factors and interactions [0.03%]
诊断和预测预测、关键风险因素及交互作用的机器学习方法
Murtaza Nasir,Nichalin S Summerfield,Stephanie Carreiro et al.
Murtaza Nasir et al.
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers to improve patient-care planning, resource planning and utilization. Furthermore, identifying key-risk-factors and interaction-effects can he...
Home- and community-based care in the new generation of Medicaid administrative data [0.03%]
新一期医疗补助行政数据中的家庭和社区护理服务
Sijiu Wang,Mingyu Qi,R Tamara Konetzka
Sijiu Wang
This study aimed to assess the quality of Home and Community-Based Services (HCBS) data elements within the Transformed Medicaid Statistical Information System Analytical File (TAF) and to devise strategies for improving its research usabil...
Practical challenges in mediation analysis: a guide for applied researchers [0.03%]
中介分析的实际挑战：应用研究者的指南
Megan S Schuler,Donna L Coffman,Elizabeth A Stuart et al.
Megan S Schuler et al.
Mediation analysis is a statistical approach that can provide insights regarding the intermediary processes by which an intervention or exposure affects a given outcome. Mediation analyses rose to prominence, particularly in social science ...
Evaluating Federal Policies Using Bayesian Time Series Models: Estimating the Causal Impact of the Hospital Readmissions Reduction Program [0.03%]
基于贝叶斯时间序列模型的联邦政策评估：估计医院再入院减少方案的因果影响
Georgia Papadogeorgou,Fiammetta Menchetti,Christine Choirat et al.
Georgia Papadogeorgou et al.
Researchers are often faced with evaluating the effect of a policy or program that was simultaneously initiated across an entire population of units at a single point in time, and its effects over the targeted population can manifest at any...
Nicholas Hartman,Vahakn B Shahinian,Valarie B Ashby et al.
Nicholas Hartman et al.
Healthcare quality measures are statistics that serve to evaluate healthcare providers and identify those that need to improve their care. Before using these measures in clinical practice, developers and reviewers assess measure reliability...
Controlling time-varying confounding in difference-in-differences studies using the time-varying treatments framework [0.03%]
在差异法研究中利用时变处理框架控制时变混杂因素
Leslie Myint
Leslie Myint
This article clarifies how the biostatistical literature on time-varying treatments (TVT) can provide tools for dealing with time-varying confounding in difference-in-differences (DiD) studies. I use a simulation study to compare the bias a...
Improving Identification of Medicaid Eligible Community-Dwelling Older Adults in Major Household Surveys with Limited Income or Asset Information [0.03%]
改善主要家庭调查中社区居住老年人的医疗补助资格识别（这些调查提供的收入或资产信息有限）
Melissa McInerney,Jennifer M Mellor,Venkatesh Ramamoorthy et al.
Melissa McInerney et al.
Analysis of public policy affecting dual eligibles requires accurate identification of survey respondents eligible for both Medicare and Medicaid. Doing so for Medicaid is particularly challenging given the complex eligibility rules tied to...
Test-specific funnel plots for healthcare provider profiling leveraging individual- and summary-level information [0.03%]
基于个体和汇总信息的检验特异性漏斗图在医疗保健提供者绩效评价中的应用研究
Wenbo Wu,Jonathan P Kuriakose,Wenjing Weng et al.
Wenbo Wu et al.
In addition to applications in meta-analysis, funnel plots have emerged as an effective graphical tool for visualizing the detection of health care providers with unusual performance. Although there already exist a variety of approaches to ...
Methodological considerations for estimating policy effects in the context of co-occurring policies [0.03%]
共存政策背景下估计政策效应的研究方法考量
Beth Ann Griffin,Megan S Schuler,Joseph Pane et al.
Beth Ann Griffin et al.
Understanding how best to estimate state-level policy effects is important, and several unanswered questions remain, particularly about the ability of statistical models to disentangle the effects of concurrently enacted policies. In practi...