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Biostatistics seminar: “Joint Mean and Covariance Modeling of Multiple Health Outcome Measures”
December 4, 2019 @ 12:00 pm - 1:00 pm
“Joint Mean and Covariance Modeling of Multiple Health Outcome Measures” will be presented by Maggie Niu, Associate Research Professor and Director of the Statistical Consulting Center for Penn State.
Health exams determine a patient’s health status by comparing the patient’s measurement with a population reference range, a 95 percent interval derived from a homogeneous reference population. Similarly, most of the established relation among health problems are assumed to hold for the entire population. Niu’s research uses data from the 2009-2010 National Health and Nutrition Examination Survey (NHANES) on four major health problems in the U.S. and applies a joint mean and covariance model to study how the reference ranges and associations of those health outcomes could vary among subpopulations. She will 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.
Light refreshments will be served.
In addition to the in-person presentation at the Academic Support Building on the College of Medicine campus in Hershey, participants may join by calling 669-900-6833, meeting ID 322043373, or via Zoom.