Fail-Safe N is a statistic suggested as a way to address publication bias in meta-analysis. Fail-Safe N describes the robustness of a significant result by calculating how many studies with effect size zero could be added to the meta-analysis before the result lost statistical significance. The original formulation is provided by Rosenthal (1979), with modifications proposed by Orwin (1983) and Rosenberg (2005).
