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Dr. Nancy Reid, Hollander Distinguished Lecturer
“Three Rs — Reliability, Replicability, Reproducibility: the interplay between statistical science and data science”

Dr. Nancy Reid, OC, FRS, FRSC
University Professor and Canada Research Chair in Statistical Methodology, University of Toronto

Abstract: The current pandemic has brought into sharp relief the essential role of data in nearly all aspects of science, government and public health. But data is useless without explanation and interpretation, and statistical science has a long history and rich traditions for providing explanation and interpretation. However statistical reasoning is often not well-understood, and mis-use of statistical arguments has contributed to confusion over the three R’s in the title. In this talk I describe how data science and statistical science together can provide a robust framework for extracting insights from data reliably, and thus contribute to both replicability and reproducibility. This is illustrated with a selection of examples from recent news articles, along with some discussion on the role of the theory of inference in this framework.

Oct 30, 2020 11:00 AM in Eastern Time (US and Canada)

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