Dropping Incomplete Records is (not so) Straightforward
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30047-9_30
Reference22 articles.
1. Acuna, E., Rodriguez, C.: The treatment of missing values and its effect on classifier accuracy. In: Banks, D., McMorris, F.R., Arabie, P., Gaul, W. (eds.) Classification, Clustering, and Data Mining Applications. Studies in Classification, Data Analysis, and Knowledge Organisation, pp. 639–647. Springer, Berlin, Heidelberg (2004). https://doi.org/10.1007/978-3-642-17103-1_60
2. Brand, J.P., van Buuren, S., Groothuis-Oudshoorn, K., Gelsema, E.S.: A toolkit in SAS for the evaluation of multiple imputation methods. Stat. Neerl. 57(1), 36–45 (2003)
3. van Buuren, S.: Flexible Imputation of Missing Data, 2nd edn. Chapman and Hall/CRC, Boca Raton (2018)
4. van Buuren, S., Brand, J.P., Groothuis-Oudshoorn, C.G., Rubin, D.B.: Fully conditional specification in multivariate imputation. J. Stat. Comput. Simul. 76(12), 1049–1064 (2006)
5. van Buuren, S., Groothuis-Oudshoorn, K.: MICE: multivariate imputation by chained equations in R. J. Stat. Softw. 45, 1–67 (2011)
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