Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning [0.03%]
利用贝叶斯机器学习改进两阶段设计中的调查推断
Xinru Wang,Anyu Zhu,Lauren Kennedy et al.
Xinru Wang et al.
The two-phase sampling design is a cost-effective strategy widely used in public health research. Analyzing the Phase II sample often involves creating subsample-specific weights. However, these weights can be highly variable, leading to un...
Multivariate mixed models accounting for don't know options in ordinal data [0.03%]
考虑ordinal数据中的不知道选项的多元混合模型
Ralitza Gueorguieva,Maria Iannario
Ralitza Gueorguieva
Multivariate ordinal data characterised by between-subject heterogeneity or different response styles are prevalent in surveys and other observational studies. It is especially common in surveys designed to assess individual perceptions or ...
A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data [0.03%]
过度离散二项数据的贝叶斯零膨胀空间变系数模型
Chun-Che Wen,Rajib Paul,Kelly J Hunt et al.
Chun-Che Wen et al.
Cardiometabolic risk factors (CRFs) during pregnancy are early indicators of maternal diseases, such as stroke and type 2 diabetes. The total number of CRFs typically takes the form of binomial counts that exhibit overdispersion and zero in...
Authors' reply to the Discussion of 'Methods for estimating the exposure-response curve to inform the new safety standards for fine particulate matter' [0.03%]
关于“估算细颗粒物新的安全标准暴露反应关系的方法”的讨论的回复
Michael Cork,Daniel Mork,Francesca Dominici
Michael Cork
Spatio-temporal quasi-experimental methods for rare disease outcomes: the impact of reformulated gasoline on childhood haematologic cancer [0.03%]
时空准实验方法在罕见疾病结局研究中的应用——以改性汽油对儿童血液系统癌症的影响为例
Sofia L Vega,Rachel C Nethery
Sofia L Vega
Although some pollutants emitted in vehicle exhaust, such as benzene, are known to cause leukaemia in adults with high exposure levels, less is known about the relationship between traffic-related air pollution (TRAP) and childhood haematol...
Integrating testing volume into bandit algorithms for infectious disease surveillance [0.03%]
将检测量纳入传染病监测的多臂赌博机算法中
Joshua L Warren,Ottavia Prunas,A David Paltiel et al.
Joshua L Warren et al.
Mobile testing services provide opportunities for active surveillance of infectious diseases for hard-to-reach and/or high-risk individuals who do not know their disease status. Identifying as many infected individuals as possible is import...
Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter [0.03%]
估算暴露反应关系的方法以制定细颗粒物新的安全标准
Michael Cork,Daniel Mork,Francesca Dominici
Michael Cork
Exposure to fine particulate matter (PM2.5) poses significant health risks and accurately determining the shape of the relationship between PM2.5 and health outcomes has crucial policy implications. Although various statistical methods exis...
Aaron Gerding,Nicholas G Reich,Benjamin Rogers et al.
Aaron Gerding et al.
Recent years have seen increasing efforts to forecast infectious disease burdens, with a primary goal being to help public health workers make informed policy decisions. However, there has been only limited discussion of how predominant for...
Estimating racial and ethnic healthcare quality disparities using exploratory item response theory and latent class item response theory models [0.03%]
基于探索性项目反应理论和潜在类别项目反应理论模型估计医疗卫生质量的种族及民族差异
Sharon-Lise Normand,Katya Zelevinsky,Marcela Horvitz-Lennon
Sharon-Lise Normand
Healthcare quality metrics refer to a variety of measures used to characterize what should have been done or not done for a patient or the health consequences of what was or was not done. When estimating healthcare quality, many metrics are...