Milo Schield (Augsburg University)
Thursday May 16, 1:00 pm – 4:30 pm
This workshop will cover the following ten topics:
- A1. Three kinds of students taking statistics.
- A2. Four kinds of influence on a statistic.
- A3. Five kinds of studies.
- A4. Three kinds of grammar for distinguishing association from causation.
- B5. Two biggest statistical problems in dealing with big data.
- B6. Five ways to introduce multivariate thinking and confounding.
- B7. Two ways to avoid creating cynics when introducing confounding: Fisher vs. Cornfield.
- B8. Evaluating the strength of evidence given an association based on observational data.
- C9. (20 minutes) Separating statistical literacy from Decision Making. (What not to say about causation given evidence from observational studies)
- C10. (30 minutes) Reviewing the first part of Judea Pearl's book: "The Book of Why": the most important book for statistical educators published in decades.
Encore: Evaluating p-values in clinical trials.
Approach: Three 48 minute sessions. 12 minutes per topic (4 topics per hour)
Extensive audience participation and voting on results for most of the topics.