"publication bias." This study uses Monte Carlo simulations to investigate the performance of five different MA estimators in the … presence of publication bias. The author considers two kinds of publication bias: publication bias directed against … statistically insignificant estimates, and publication bias directed against wrong-signed estimates. The experiments simulate two …

consider two types of publication bias: publication bias directed against statistically insignificant estimates, and … publication bias directed against wrong-signed estimates. Finally, the authors consider three cases concerning the distribution of …

This paper questions the conventional wisdom that publication bias must result from the biased preferences of … equilibrium with such publication bias is socially optimal. The model predicts that published non-positive results are either … proposes a new stem-based bias correction method that is robust to this and other publication selection processes. …

the potential threats of data-mining and publication bias. We propose extended meta-regression models and evaluate their … presence of publication bias, but data-mining bias leads to seriously inflated type I errors and has to be addressed explicitly. …

problem for inverse-variance weighting and bias-correction methods based on the funnel plot. Selection models fail to solve … the problem, and the simple mean can beat sophisticated estimators. Cures to publication bias may become worse than the …