Daniel Lakens (Eindhoven University of Technology) drops in to talk statistical inference with James and Dan.
Here’s what they cover:
- How did Daniel get into statistical inference?
- Are we overdoing the Frequentist vs. Bayes debate?
- What situations better suit Bayesian inference?
- The over advertising of Bayesian inference
- Study design is underrated
- The limits of p-values
- Why not report both p-values and Bayes factors?
- The “perfect t-test” script and the difference between Student’s and Welch’s t-tests
- The two-one sided test
- Frequentist and Bayesian approaches for stopping procedures
- Why James and Dan started the podcast
- The worst bits of advice that Daniel has heard about statistical inference
- Dan discuss a new preprint on Bayes factors in psychiatry
- Statistical power
- Excel isn’t all bad…
- The importance of accessible software
- We ask Daniel about his research workflow - how does he get stuff done?
- Using blog posts as a way of gauging interest in a topic
- Chris Chambers’ new book: The seven deadly sins of psychology
- Even more names for methodological terrorists
Daniel on Twitter - @lakens
Daniel’s course - https://www.coursera.org/learn/statistical-inferences
Daniel’s blog - http://daniellakens.blogspot.no
TOSTER - http://daniellakens.blogspot.no/2016/12/tost-equivalence-testing-r-package.html
Dan’s preprint on Bayesian alternatives for psychiatry research - https://osf.io/sgpe9/
Understanding the new statistics - https://www.amazon.com/Understanding-New-Statistics-Meta-Analysis-Multivariate/dp/041587968X
Daniel’s effect size paper - http://journal.frontiersin.org/article/10.3389/fpsyg.2013.00863/full
The seven deadly sins of Psychology - http://press.princeton.edu/titles/10970.html