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National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Applied and Theoretical Statistics. Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop. Washington (DC): National Academies Press (US); 2017 Feb 24.
Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop.
Show details- MICHAEL J. DANIELS, University of Texas, Austin, Co-Chair
- ALFRED O. HERO III, University of Michigan, Co-Chair
- GENEVERA ALLEN, Rice University and Baylor College of Medicine
- CONSTANTINE GATSONIS, Brown University
- GEOFFREY GINSBURG, Duke University
- ROBERT E. KASS, Carnegie Mellon University
- MICHAEL KOSOROK, University of North Carolina, Chapel Hill
- RODERICK J.A. LITTLE, NAM,3 University of Michigan
- JEFFREY S. MORRIS, MD Anderson Cancer Center
- RONITT RUBINFELD, Massachusetts Institute of Technology
Staff
- MICHELLE K. SCHWALBE, Board Director
- BEN A. WENDER, Associate Program Officer
- LINDA CASOLA, Staff Editor
- RODNEY N. HOWARD, Administrative Assistant
- ELIZABETH EULLER, Senior Program Assistant
Footnotes
- 1
National Academy of Sciences.
- 2
National Academy of Engineering.
- 3
National Academy of Medicine.
- PLANNING COMMITTEE ON REFINING THE CONCEPT OF SCIENTIFIC INFERENCE WHEN WORKING ...PLANNING COMMITTEE ON REFINING THE CONCEPT OF SCIENTIFIC INFERENCE WHEN WORKING WITH BIG DATA - Refining the Concept of Scientific Inference When Working with Big Data
- Panel Discussion - Refining the Concept of Scientific Inference When Working wit...Panel Discussion - Refining the Concept of Scientific Inference When Working with Big Data
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