Robustness of a multivariate normal approximation for imputation of incomplete binary data.

@article{Bernaards2007RobustnessOA,
  title={Robustness of a multivariate normal approximation for imputation of incomplete binary data.},
  author={Coen A. Bernaards and Thomas R. Belin and Joseph L. Schafer},
  journal={Statistics in medicine},
  year={2007},
  volume={26 6},
  pages={1368-82}
}
Multiple imputation has become easier to perform with the advent of several software packages that provide imputations under a multivariate normal model, but imputation of missing binary data remains an important practical problem. Here, we explore three alternative methods for converting a multivariate normal imputed value into a binary imputed value: (1) simple rounding of the imputed value to the nearer of 0 or 1, (2) a Bernoulli draw based on a 'coin flip' where an imputed value between 0… CONTINUE READING