Cliburn Chan and Shein-Chung Chow
CFAR BCB Core, Duke University Medical Center
Durham, North Carolina
In recent years, big data analytics has received much attention in the area of healthcare related biomedical research and development. Big data analytics enables research organizations to analyze a mix of structured and unstructured data for identifying valuable medical information and insights in healthcare related biomedical research and development. The validity of big data analytics, however, is a concern due to the fact that (1) heterogeneity across data sets from various sources either structured or non-structured and (2) possible selection bias of accepting more positive studies into the big data center. In practice, the percentage of positive studies in the target patient population is usually unknown. As a result, the findings from the big data analytics may be biased and hence misleading. In this chalk talk, we will focus current existing big data, challenging statistical issues, and methods for potential application in HIV/AIDS clinical research.
*Pizza and Drinks will be provided*