Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.

@article{Schafer1998MultipleIF,
  title={Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.},
  author={Joseph L. Schafer and Maren K. Olsen},
  journal={Multivariate behavioral research},
  year={1998},
  volume={33 4},
  pages={
          545-71
        }
}
Analyses of multivariate data are frequently hampered by missing values. Until recently, the only missing-data methods available to most data analysts have been relatively ad1 hoc practices such as listwise deletion. Recent dramatic advances in theoretical and computational statistics, however, have produced anew generation of flexible procedures with a sound statistical basis. These procedures involve multiple imputation (Rubin, 1987), a simulation technique that replaces each missing datum… CONTINUE READING

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