42: Some of my best friends are Bayesians (with Daniel Lakens)

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 Links 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.htmlSpecial Guest: Daniel Lakens.