Sensitivity Analysis for Publication Bias in Meta-Analyses

Summary We propose sensitivity analyses for publication bias in meta-analyses. We consider a publication process such that ‘statistically significant’ results are more likely to be published than negative or “non-significant” results by an unknown ratio, η. Our proposed methods also accommodate some plausible forms of selection based on a study's standard error. Using inverse probability weighting and robust estimation that accommodates...