Local multiple imputation

By Marc Aerts, Gerda Claeskens, Niel Hens, Geert Molenberghs. 2002

47 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/699f1531384e06b1806824d0caf665585caaf927

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Alan T. K. Wan
2. Xiaojing Wang
3. Xuerong Chen
4. Yong Zhou
5. Peisong Han
6. Xinyu Zhang
7. Guohua Zou
8. J. R. Magnus

Citations in the corpus

• Estimating Equations Inference With Missing Data (2008, methodology): “Common imputation methods include multiple imputation (Rubin 1987; Lipsitz, Zhao, and Molenberghs 1998; Aerts, Claeskens, Hens, and Molenberghs 2002), random imputation (Chen, Rao, and Sitter 2000), and nearest neighbor imputation (Chen and Shao 2000; Wasito and Mirkin 2006).”
• Efficient Quantile Regression Analysis With Missing Observations (2015, background): “Multiple imputation (Rubin 1987; Lipsitz et al. 1998; Aerts et al. 2002) is also widely used for remediating problems caused by incomplete data.”