A multiple imputation and importance sampling approach adjusts for outcome reporting bias in univariate and bivariate meta-analysis by imputing unreported outcomes under MAR and reweighting under an assumed MNAR selection model.
The Threat of Serious Outcome Reporting Bias in Random- ized Controlled Trials on Acute Ischemic Stroke to Evidence Synthesis: A Meta-epidemiological Study
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Adjusting for Outcome Reporting Bias in Meta-analysis: A Multiple Imputation Approach
A multiple imputation and importance sampling approach adjusts for outcome reporting bias in univariate and bivariate meta-analysis by imputing unreported outcomes under MAR and reweighting under an assumed MNAR selection model.