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This Month in Data

This Month in Data

New Method Reveals How Businesses Can Run Better Experiments

Thoughts from Salem Center’s David Puelz: Understanding cause-and-effect is crucial to policy analysis.  A new article published in the Journal of the Royal Statistical Society aims to make causal methods more useful by incorporating “interference.”  Interference is everywhere in our modern world and describes natural clusterings of experimental units: family members interact with others in […]

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