1. Modelling publication bias and p-hacking.
- Author
-
Moss J and De Bin R
- Subjects
- Bias, Meta-Analysis as Topic, Publication Bias
- Abstract
Publication bias and p-hacking are two well-known phenomena that strongly affect the scientific literature and cause severe problems in meta-analyses. Due to these phenomena, the assumptions of meta-analyses are seriously violated and the results of the studies cannot be trusted. While publication bias is very often captured well by the weighting function selection model, p-hacking is much harder to model and no definitive solution has been found yet. In this paper, we advocate the selection model approach to model publication bias and propose a mixture model for p-hacking. We derive some properties for these models, and we compare them formally and through simulations. Finally, two real data examples are used to show how the models work in practice., (© 2021 The International Biometric Society.)
- Published
- 2023
- Full Text
- View/download PDF