Using Calibration to Improve Rounding in Imputation. Yucel, R. M. & Zaslavsky, A. M. Am Statistician, 62(2):125-129, 2008.
  title = {Using Calibration to Improve Rounding in Imputation},
  volume = {62},
  number = {2},
  journal = {Am Statistician},
  author = {Yucel, Recai M. and Zaslavsky, Alan M.},
  year = {2008},
  keywords = {missing-data,software,multiple-imputation,imputation,categorical-data-imputation,multivariate-normal,posterior-predictive-check,rounding},
  pages = {125-129},
  citeulike-article-id = {13265671},
  posted-at = {2014-07-14 14:10:01},
  priority = {0},
  annote = {using rounding to impute binary variables using techniques for continuous data;uses the method to solve for the cutpoint for a continuous estimate to be converted into a binary value;method should be useful in more general situations;idea is to duplicate the entire dataset and in the second half of the new datasets to set all non-missing values of the target variable to missing;multiply impute these now-missing values and compare them to the actual values}

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