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st: Issues of Normality for Multiple Imputation with ICE
Hello-
I am working with a small data set with missing values for which I am trying to do multiple imputation with ICE. I have some data that are non-normal. Do I have to do transformations? I have seen a reference to Schafer (Analysis of incomplete Multivariate Data 1997) that says there is evidence that imputation methods can work even when the data are not normal. But I did not know if the ICE command would be one of these methods. Is there a ref that would support leaving non-normal data as is for multiple imputation with ICE? Are there steps that I need to take? What options for transformations would be possible?
Thank you very much-
Catherine
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