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Missing Data

  • Frank E. HarrellJr.
Part of the Springer Series in Statistics book series (SSS)

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.

Keywords

Multiple Imputation Imputation Model Total Hospital Cost Single Imputation Miss Data Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Frank E. HarrellJr.
    • 1
  1. 1.Department of BiostatisticsVanderbilt University School of MedicineNashvilleUSA

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