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

Special Guest: Daniel Lakens.

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