True P Values
layout: single title: “Taleb Paper on P-Hacking” date: 2024-12-12 use_math: true published: false categories: blog tags:
- Publication Bias
- Meta-Analysis
December 12, 2024
layout: single title: “Taleb Paper on P-Hacking” date: 2024-12-12 use_math: true published: false categories: blog tags:
December 12, 2024
Publication bias occurs when the distribution of observed effects differs from the distribution of all such effects. Usually, this means there is some filter based on the magnitude or direction of the effect (positive or negative). Crucially, we do not observe all effects, so we must infer whether publication bias has occurred.
December 05, 2024
Cohen’s $d$ is commonly used as the standardized effect size in meta-analysis. Meta-analyses now also tend to include tests of publication bias. Both of these are fine on their own, but when you mix Cohen’s $d$ and publication bias methods, you may run into problems.
December 03, 2024
I was reading O’Rourke’s history of meta-analysis paper and he mentions what is possibly the first paper to systematically look at publication bias based on significance. This is Sterling’s 1959 paper “Publication Decisions and Their Possible Effects on Inferences Drawn from Tests of Significance–Or Vice Versa”.
November 26, 2024