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Activity Number: 143 - Some New Perspectives and Developments in Biostatistical Research in the Era of Data Science
Type: Invited
Date/Time: Monday, July 30, 2018 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract #326828 Presentation
Title: How Small Data Can Leverage Big Data, and/or Conversely
Author(s): Bhramar Mukherjee*
Companies: University of Michigan
Keywords: Big Data; genomic data; electronic health records; electronic medical records; biomedical sciences

We are living at a time when the "Big Data" movement is raging across the world, revolutionizing and stretching our computational imagination, when being a data scientist is perhaps more attractive than being a statistician to the new generation of quantitative scientists. This lecture will aim to illustrate how classical statistical principles can be used to incorporate external auxiliary information available from large data sources in improving inference based on a current dataset of modest size. We will focus on joint analysis of electronic health records and genomic data. We will consider the situation where we have a convenience sample of patients in a health system with access to their complete electronic medical records and genomewide scans: can we use knowledge from large population-based genome-wide association studies to learn and discover in this biased sample? Through this example, I will try to identify a theme advocating for timeless statistical principles and study designs to be applied to cutting-edge problems in biomedical sciences

Authors who are presenting talks have a * after their name.

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