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286 – 286 - Missing Data Methods
Impact of Inconsistent Imputation Models in Mediation Analysis with Clustered Data
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Keywords: multi-level mediation analysis, missing data, multiple imputation, compatible imputation
Bo Ye
State University of New York at Albany
The choice of imputation model is often driven by the focus of the post imputation models. However, this is not necessarily the case in all applications of MI inference, especially when MI is used in large-scale surveys. Our work assesses the impact of an imputation model on the mediation analysis with clustered data. Specifically, we consider joint and variable-by-variable imputation models leading up to multi-level mediation analysis. We provide theoretical and analytical assessment of the bias under each imputation method. A comprehensive simulation study is conducted to understand the performance of imputation methods in a repetitive sampling framework.