The National Academies of Sciences, Engineering and Medicine Committee on Applied and Theoretical Statistics is holding a workshop titled “Refining the Concept of Scientific Inference When Working With Big Data” in Washington DC, June 8-9.
The workshop will bring together statisticians, data scientists and domain researchers from different biomedical disciplines to explore four key issues of scientific inference:
- Inference about causal discoveries driven by large observational data
- Inference about discoveries from data on large networks
- Inference about discoveries based on integration of diverse datasets
- Inference when regularization is used to simplify fitting of high-dimensional models