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This post is a teaser for van den Bergh, D., Clyde, M. A., Raj, A., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., and Wagenmakers, E.-J. (2020). A Tutorial on Bayesian Multi-Model Linear Regression with BAS and JASP. Preprint available on                                  …

Below is a summary of a preprint featuring an extensive reanalysis of the results Many Labs 4 project (current preprint). ML4 attempted to replicate the mortality salience effect. Following the publication of the preprint a heated debate broke out about data inclusion criteria. In an attempt of conciliation we decided to reanalyze the data using all proposed data inclusion criteria…

I was exhausted and expecting my newborn to wake up any moment, but I wanted to look at the data. I had stopped data collection a month prior, and wasn’t due back at work for weeks, so it could have waited, but my academic brain was beginning to stir after what seemed like eons of pregnancy leave. Sneaking a peek…

Below is a summary of a preprint that features a Bayesian reanalysis of the famous/infamous Gautret et al. data. What I like about this preprint is (a) the multiverse analysis; (b) the Bayesian conclusions — they are so easy to obtain with JASP, and provide much more information then just “p<.05” or “p>.05”; but what I like most of all…

As the corona-crisis engulfs the world, politicians left and right are accused of “politicizing” the pandemic. In order to follow suit I will try to weaponize the pandemic to argue in favor of Bayesian inference over frequentist inference. In recent months it has become clear that the corona pandemic is not just fought by doctors, nurses, and entire populations as…

This post summarizes Dablander, F.⭑, van den Berg, D.⭑, Ly, A., Wagenmakers, E.-J. (2020). Default Bayes Factors for Testing the (In)equality of Several Population Variances. Preprint available on ArXiv:                                     https://arxiv.org/abs/2003.06278. Abstract “Testing the (in)equality of variances is an important problem in many…

In a recent blog post, Bayesian icon David Spiegelhalter proposes a new analysis of the results from the ANDROMEDA-SHOCK randomized clinical trial. This trial was published in JAMA under the informative title “Effect of a Resuscitation Strategy Targeting Peripheral Perfusion Status vs Serum Lactate Levels on 28-Day Mortality Among Patients With Septic Shock”. In JAMA, the authors summarize their findings…