Evaluation of software for multiple imputation of semi-continuous data.

@article{Yu2007EvaluationOS,
  title={Evaluation of software for multiple imputation of semi-continuous data.},
  author={Ly-Mee Yu and Andrea Burton and Oliver Rivero-Arias},
  journal={Statistical methods in medical research},
  year={2007},
  volume={16 3},
  pages={243-58}
}
It is now widely accepted that multiple imputation (MI) methods properly handle the uncertainty of missing data over single imputation methods. Several standard statistical software packages, such as SAS, R and STATA, have standard procedures or user-written programs to perform MI. The performance of these packages is generally acceptable for most types of data. However, it is unclear whether these applications are appropriate for imputing data with a large proportion of zero values resulting… CONTINUE READING

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