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The Bayesian Reproducibility Project

An abstract about bayesian reproducibility project

A tale of two papers

An abstract about transparency and robustness for two papers

Bayesian inference

This blog post is about a new statistical visualization. This time I’ve tried to illustrate the logic of bayesian updating and hypothesis testing, using a Bayesian t-test.

Evaluating the R-Index and the P-Curve

This blog evaluates the R-Index and the P-Curve

Falsely Reassuring: Analyses of ALL p-values

A blog post that describes analyses of all p-values

P-curve visualization updated with log x-axis

My p-curve tool now lets you show the x-axis on a log₁₀ scale, which makes it a lot easier to look at really small p-values

Power Posing: Reassessing The Evidence Behind The Most Popular TED Talk

A recent paper in Psych Science (.pdf) reports a failure to replicate the study that inspired a TED Talk that has been seen 25 million times. [1] The talk invited viewers to do better in life by assuming high-power poses, just like Wonder Woman's …

Short R script to plot effect sizes (Cohen's d) and share overlapping are

This blog describes how to plot effect sizes (Cohen's d) and shade overlapping area with R scripts

The Amazing Significo: why researchers need to understand poker

A post that describes significance values

The default bayesian test is prejudiced against small effects

When considering any statistical tool I think it is useful to answer the following two practical questions: 1. "Does it give reasonable answers in realistic circumstances?" and 2. "Does it answer a question I am interested in?" In this post I explain …
JUST-OS