Statistical Practice A Potential for Bias When Rounding in Multiple Imputation

@inproceedings{Horton2003StatisticalPA,
  title={Statistical Practice A Potential for Bias When Rounding in Multiple Imputation},
  author={Nicholas J. Horton and Stuart R. Lipsitz and M. Parzen},
  year={2003}
}
With the advent of general purpose packages that support multiple imputation for analyzing datasets with missing data (e.g., Solas, SAS PROC MI, and S-Plus 6.0), we expect much greater use of multiple imputation in the future. For simplicity, some imputation packages assume the joint distribution of the variables in the multiple imputation model is multivariate normal, and impute the missing data from the conditional normal distribution for the missing data given the observed data. If the… CONTINUE READING

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