A Primer on Bayesian Model-Averaged Meta-Analysis

This post is an extended synopsis of a preprint that is available on PsyArXiv: https://psyarxiv.com/97qup/ Abstract Meta-analysis is the predominant approach for quantitatively synthesizing a set of studies. If the studies themselves are of high quality, meta-analysis can provide valuable insights into the current scientific state of knowledge about a particular phenomenon. In psychological science, the most common approach is…

read more

Omit Needless Words: An Unapproachable Example of Conciseness Related by the Traveling Chinese Story-teller Kai Lung

As mentioned in an earlier post, the epigraphs in Harold Jeffreys’s 1935 geophysics book “Earthquakes and mountains” prompted me to read “The Wallet of Kai Lung”, a collection of short stories by Ernest Bramah Smith (1868-1942). In one of the stories, “The confession of Kai Lung”, the traveling Chinese story-teller Kai Lung relates the following autobiographical tale, “an unapproachable example…

read more

Preprint: A Bayesian Multiverse Analysis of Many Labs 4

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…

read more

On the Beauty of Publishing an Ugly Registered Report

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…

read more

Preprint: A Bayesian Reanalysis of the Effects of Hydroxychloroquine and Azithromycin on Viral Carriage in Patients with COVID-19 (Reply to Gautret et al. 2020)

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…

read more

Corona and the Statistics Wars

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…

read more

Preprint: Default Bayes Factors for Testing the (In)equality of Several Population Variances

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…

read more