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.
Transparency of Outcome Reporting and Trial Registration of Randomized Controlled Trials in Top Psychosomatic and Behavioral Health Journals: A Systematic Review
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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.