Multiple Imputation: Theory and Method

By Paul Zhang. 2003

146 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f015fbc707ac3c57c7d65a86b9fa2ee4bd6141c0

Citations in the corpus

• Multiple imputation using chained equations for missing data in TIMSS: a case study (2013, unknown): “Here, data will be missing completely at random (MCAR) because the process that causes missingness does not depend on the values of variables in the dataset subject to analysis (Little, 1988; Rubin, 1976; Zhang, 2003).”