Understanding Big data
*Jessica Hu, CBER Keywords: big data, correlation analysis, hypotheses driven approach, data driven approaches Big data refers to the new ability to crunch a vast quantity of information, analyze it instantly, and sometimes draw surprising conclusions from it. As a revolution on par with the internet, big data has changed the way people think about business, health, education, politics, and innovation. In the big-data age, the hypotheses driven approach is no longer efficient to make decisions. Huge dataset and high computing power made sophisticated computational analysis available, especially in correlation analysis. As a consequence big data poses new challenges for statisticians. This presentation introduces the basic characteristics of big data and explores ideas behind it. It also compares statistical methodologies applied in big data and regular clinical trials. Some examples of big data application from CBER/OBE are included.
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Key Dates
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November 1 - December 17, 2013
Online proposal submission for a session, short course and Town Hall Open -
January 6 - March 11, 2014
Online proposal submission for Roundtables Open -
April 30 - May 28, 2014
Abstract Submission Open -
June 4, 2014
Online Registration Opens -
August 8 - August 22, 2014
Invited Abstract Editing -
August 11, 2014
Short Course materials due from Instructors -
September 1, 2014
Housing Deadline -
September 15, 2014
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 22 - September 24, 2014
Marriott Wardman Park, Washington, DC