Multiple Imputation of Missing Data for Multilevel Models

By S. Grund, O. Lüdtke, Alexander Robitzsch. 2018

164 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e06f85dc773d8ae1f4e21764feecabcb66b2684a

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In Sociology and Political Science

1. Francis L. Huang

In Statistics and Probability

1. Francis L. Huang

Citations in the corpus

• Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations (2021, methodology): “…tutorial using R) though a popular method applicable both to GEEs and MLMs is multiple imputation (MI; McPherson et al., 2013).13 Recent software developments using MI with clustered data (Enders et al., 2018; Grund et al., 2018) have made the procedure more readily accessible (Grund et al., 2019).”