期刊
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
卷 39, 期 9, 页码 1779-1784出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610918.2010.518267
关键词
Implausible imputed values; Multiple imputation; Plausible imputed values
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据