An Empirical Comparison of Multiple Imputation Methods for Categorical Data
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DOI: 10.1080/00031305.2016.1277158
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Cited by:
- Svetlana Zhuchkova & Aleksei Rotmistrov, 2022. "How to choose an approach to handling missing categorical data: (un)expected findings from a simulated statistical experiment," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 1-22, February.
- Llano, Carlos & Pardo, Juan & Pérez-Balsalobre, Santiago & Pérez, Julián, 2023. "Estimating multicountry tourism flows by transport mode," Annals of Tourism Research, Elsevier, vol. 103(C).
- Tessmann, R. & Elbert, R., 2022. "Multi sided platforms in competitive B2B networks with varying governmental influence – a taxonomy of Port and Cargo Community System business models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 132320, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Humera Razzak & Christian Heumann, 2019. "Hybrid Multiple Imputation In A Large Scale Complex Survey," Statistics in Transition New Series, Polish Statistical Association, vol. 20(4), pages 33-58, December.
- Ruben Tessmann & Ralf Elbert, 2022. "Multi-sided platforms in competitive B2B networks with varying governmental influence – a taxonomy of Port and Cargo Community System business models," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 829-872, June.
- Razzak Humera & Heumann Christian, 2019. "Hybrid Multiple Imputation In A Large Scale Complex Survey," Statistics in Transition New Series, Polish Statistical Association, vol. 20(4), pages 33-58, December.
- Zachary K. Collier & Minji Kong & Olushola Soyoye & Kamal Chawla & Ann M. Aviles & Yasser Payne, 2024. "Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 49(2), pages 241-267, April.
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