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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


How Much Should We Trust Publication Bias Detection Techniques?

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 and Publication Bias Methods Don't Mix (Sometimes)

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