Optimizing Variance-Bias Trade-off in the TWANG Package for Estimation of Propensity Scores [0.03%]
改进TWANG包中的倾向得分估计的方差偏倚权衡优化方法
Layla Parast,Daniel F McCaffrey,Lane F Burgette et al.
Layla Parast et al.
While propensity score weighting has been shown to reduce bias in treatment effect estimation when selection bias is present, it has also been shown that such weighting can perform poorly if the estimated propensity score weights are highly...
Accounting for misclassification in electronic health records-derived exposures using generalized linear finite mixture models [0.03%]
基于电子健康记录暴露的广义线性有限混合模型分类错误的影响分析
Rebecca A Hubbard,Eric Johnson,Jessica Chubak et al.
Rebecca A Hubbard et al.
Exposures derived from electronic health records (EHR) may be misclassified, leading to biased estimates of their association with outcomes of interest. An example of this problem arises in the context of cancer screening where test indicat...
Combining Non-randomized and Randomized Data in Clinical Trials Using Commensurate Priors [0.03%]
利用一致先验结合临床试验中的非随机和随机数据
Hong Zhao,Brian P Hobbs,Haijun Ma et al.
Hong Zhao et al.
Randomization eliminates selection bias, and attenuates imbalance among study arms with respect to prognostic factors, both known and unknown. Thus, information arising from randomized clinical trials (RCTs) is typically considered the gold...
The well-being valuation model: a method for monetizing the nonmarket good of individual well-being [0.03%]
福利评估模型：量化个人福祉这一非市场商品的方法
James A Sidney,Ashlin Jones,Carter Coberley et al.
James A Sidney et al.
The objective of this research is to advance the evaluation and monetization of well-being improvement programs, offered by population health management companies, by presenting a novel method that robustly monetizes the entirety of well-be...
Propensity score weighting for a continuous exposure with multilevel data [0.03%]
多层次数据的连续型处理变量的倾向值加权方法研究
Megan S Schuler,Wanghuan Chu,Donna Coffman
Megan S Schuler
Propensity score methods (e.g., matching, weighting, subclassification) provide a statistical approach for balancing dissimilar exposure groups on baseline covariates. These methods were developed in the context of data with no hierarchical...
Bayesian analysis of heterogeneous treatment effects for patient-centered outcomes research [0.03%]
基于患者结果研究的异质性治疗效应贝叶斯分析方法研究
Nicholas C Henderson,Thomas A Louis,Chenguang Wang et al.
Nicholas C Henderson et al.
Evaluation of heterogeneity of treatment effect (HTE) is an essential aspect of personalized medicine and patient-centered outcomes research. Our goal in this article is to promote the use of Bayesian methods for subgroup analysis and to lo...
An analysis of patient-sharing physician networks and implantable cardioverter defibrillator therapy [0.03%]
关于医师共享的病人网络和植入式心脏除颤器治疗的分析
Erika L Moen,Andrea M Austin,Julie P Bynum et al.
Erika L Moen et al.
The application of social network analysis to the organization of healthcare delivery is a relatively new area of research that may not be familiar to health services statisticians and other methodologists. We present a methodological intro...
Demissie Alemayehu,Marc L Berger
Demissie Alemayehu
The explosion of data sources, accompanied by the evolution of technology and analytical techniques, has created considerable challenges and opportunities for drug development and healthcare resource utilization. We present a systematic ove...
Donald Hedeker,Robin J Mermelstein,Hakan Demirtas et al.
Donald Hedeker et al.
In health studies, questionnaire items are often scored on an ordinal scale, for example on a Likert scale. For such questionnaires, item response theory (IRT) models provide a useful approach for obtaining summary scores for subjects (i.e....
Evaluating and Comparing Methods for Measuring Spatial Access to Mammography Centers in Appalachia (Re-Revised) [0.03%]
评估和比较阿巴拉契亚地区乳腺癌筛查中心空间可达性测量方法
Joseph Donohoe,Vincent Marshall,Xi Tan et al.
Joseph Donohoe et al.
Purpose: This study evaluated spatial access to mammography centers in Appalachia using both traditional access measures and the two-step floating catchment area (2SFCA) method. ...