Optimal risk-assessment scheduling for primary prevention of cardiovascular disease [0.03%]
心血管病一级预防的理想风险评估及干预时机
Francesca Gasperoni,Christopher H Jackson,Angela M Wood et al.
Francesca Gasperoni et al.
In this work, we introduce a personalized and age-specific net benefit function, composed of benefits and costs, to recommend optimal timing of risk assessments for cardiovascular disease (CVD) prevention. We extend the 2-stage landmarking ...
A Bayesian spatial-temporal varying coefficients model for estimating excess deaths associated with respiratory infections [0.03%]
一种用于估计与呼吸道感染相关的超额死亡的贝叶斯时空可变系数模型
Yuzi Zhang,Howard H Chang,Angela D Iuliano et al.
Yuzi Zhang et al.
Disease surveillance data are used for monitoring and understanding disease burden, which provides valuable information in allocating health programme resources. Statistical methods play an important role in estimating disease burden since ...
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach [0.03%]
使用混合数据进行社会经济地位的制图研究：一种分层贝叶斯方法
Gabrielle Virgili-Gervais,Alexandra M Schmidt,Honor Bixby et al.
Gabrielle Virgili-Gervais et al.
We propose a Bayesian hierarchical model to estimate a socio-economic status (SES) index based on mixed dichotomous and continuous variables. In particular, we extend Quinn's ([2004]. Bayesian factor analysis for mixed ordinal and continuou...
Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening [0.03%]
基于伪权重的数据整合与调查校准：在美国肺癌筛查中建立具有代表性的肺癌风险模型的应用
Lingxiao Wang,Yan Li,Barry I Graubard et al.
Lingxiao Wang et al.
Accurate cancer risk estimation is crucial to clinical decision-making, such as identifying high-risk people for screening. However, most existing cancer risk models incorporate data from epidemiologic studies, which usually cannot represen...
A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regression [0.03%]
几种用于历史模型融合以改善逻辑回归系数估计的现有方法和新型方法的比较
Philip S Boonstra,Pedro Orozco Del Pino
Philip S Boonstra
Model integration refers to the process of incorporating a fitted historical model into the estimation of a current study to increase statistical efficiency. Integration can be challenging when the current model includes new covariates, lea...
Studying Chinese immigrants' spatial distribution in the Raleigh-Durham area by linking survey and commercial data using romanized names [0.03%]
利用罗曼化名称链接调查数据和商业数据研究夏洛特地区华人分布特征
Eric A Bai,Botao Ju,Madeleine Beckner et al.
Eric A Bai et al.
Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine resolution geography can be beneficial for characterizing neig...
Synthesis estimators for transportability with positivity violations by a continuous covariate [0.03%]
连续协变量存在阳性违反情况下的合成估计值的可运输性研究
Paul N Zivich,Jessie K Edwards,Bonnie E Shook-Sa et al.
Paul N Zivich et al.
Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates can be transported to the target population. Methods for trans...
Brand versus generic: addressing non-adherence, secular trends and non-overlap [0.03%]
品牌与仿制：解决依从性、世俗趋势和非重叠问题
Lamar Hunt rd,Irene B Murimi,Jodi B Segal et al.
Lamar Hunt rd et al.
Whereas generic drugs offer a cost-effective alternative to brand name drugs, regulators need a method to assess therapeutic equivalence in a post-market setting. We develop such a method in the context of assessing the therapeutic equivale...
Grace periods in comparative effectiveness studies of sustained treatments [0.03%]
长效治疗的比较效果研究中的观察期问题
Kerollos Nashat Wanis,Aaron L Sarvet,Lan Wen et al.
Kerollos Nashat Wanis et al.
Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in practice and, when non-adherence is expect...