“Footprint of Publication Selection Bias on Meta-Analyses in Medicine, Environmental Sciences, Psychology, and Economics”, František Bartoš, Maximilian Maier, Eric-Jan Wagenmakers, Franziska Nippold, Hristos Doucouliagos, John Ioannidis, Willem M. Otte, Martina Sladekova, Teshome K. Deresssa, Stephan B. Bruns, Daniele Fanelli, T. D. Stanley2024-02-07 ()⁠:


Publication selection bias undermines the systematic accumulation of evidence.

To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421).

After adjusting for publication selection bias [using Bayesian model-averaging by RoBMA-PSMA], the median probability of the presence of an effect decreased 99.9% → 29.7% in economics, 98.9% → 55.7% in psychology, 99.8% → 70.7% in environmental sciences, and 38.0% → 29.7% in medicine.

The median absolute effect sizes (in terms of standardized mean differences) decreased from d = 0.20 to d = 0.07 in economics, from d = 0.37 to d = 0.26 in psychology, from d = 0.62 to d = 0.43 in environmental sciences, and from d = 0.24 to d = 0.13 in medicine.

Our results indicate that meta-analyses in economics are the most severely contaminated by publication selection bias, closely followed by meta-analyses in environmental sciences and psychology, whereas meta-analyses in medicine are contaminated the least.