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

Episode 42 · April 21st, 2017 · 1 hr 7 mins

About this Episode

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

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