Journal
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume 39, Issue 9, Pages 1779-1784Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610918.2010.518267
Keywords
Implausible imputed values; Multiple imputation; Plausible imputed values
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Multiple Imputation (MI) is an established approach for handling missing values. We show that MI for continuous data under the multivariate normal assumption is susceptible to generating implausible values. Our proposed remedy, is to: (1) transform the observed data into quantiles of the standard normal distribution; (2) obtain a functional relationship between the observed data and it's corresponding standard normal quantiles; (3) undertake MI using the quantiles produced in step 1; and finally, (4) use the functional relationship to transform the imputations into their original domain. In conclusion, our approach safeguards MI from imputing implausible values.
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