How Much Evidence Is Missing? Monte Carlo Estimates of Publication Bias In Meta-Analysis

Publication bias distorts meta-analytic estimates, yet its magnitude remains unclear. We used Monte Carlo simulations calibrated to published meta-analyses to estimate the ratio of unpublished to published studies needed to recover true effect sizes. Results suggest substantial hidden evidence, with missing studies often outnumbering published findings.