Abstract
There are missing data in the majority of datasets one is likely to encounter. Before discussing some of the problems of analyzing data in which some variables are missing for some subjects, we define some nomenclature.
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© 2001 Springer Science+Business Media New York
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Harrell, F.E. (2001). Missing Data. In: Regression Modeling Strategies. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3462-1_3
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DOI: https://doi.org/10.1007/978-1-4757-3462-1_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2918-1
Online ISBN: 978-1-4757-3462-1
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