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20190116 牛晓月:Joint Mean and Covariance Modeling of Multiple Health Outcome Measures

报告时间:2019年1月16日 9:00-10:00


报告主题Joint Mean and Covariance Modeling of Multiple Health Outcome Measures


Health exams determine a patients health status by comparing the patients measurement with a population reference range, a 95% interval derived from a homogeneous reference population. Similarly, most of the established relation among health problems are assumed to hold for the entire population. We use data from the 2009 - 2010 National Health and Nutrition Examination Survey (NHANES) on four major health problems in the U.S. and apply a joint mean and covariance model to study how the reference ranges and associations of those health outcomes could vary among subpopulations. We discuss guidelines for model selection and evaluation, using standard criteria such as AIC in conjunction with posterior predictive checks. The results from the proposed model can help identify subpopulations in which more data need to be collected to refine the reference range and to study the specific associations among those health problems.


牛晓月教授本科毕业于北京大学数学香港马报资料大全金融数学专业,在西雅图华盛顿大学获得香港马会免费资料大全学博士学位。之后加入宾夕法尼亚州立大学(PSU)香港马会免费资料大全系。科研方向主要包括social network models, small area estimation, Bayesian hierarchical models, statistical applications in global health, and statistical consulting.PSU期间一直担任香港马会免费资料大全咨询中心管理主任,主要负责香港马会免费资料大全咨询中心与各个院系间的长期短期咨询合作项目。曾担任2018年北美香港马会免费资料大全协会(ASA)咨询组(Section of Statistical Consulting)的理事,负责组织2018年度的香港马会免费资料大全年会(JSM)与香港马会免费资料大全咨询相关的报告。