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multiple imputation question - no variability across imputations?

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multiple imputation question - no variability across imputations?

I have been running multiple imputations on a dataset I have. The problem I'm getting is that there is no variability across imputations - the estimate is the same for each imputation. Can someone tell me what the problem is?
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Re: multiple imputation question - no variability across imputations?

I too have had this issue, but I'm not sure what to do about it. I can't generate a covariance matrix either when this happens, which makes mianalyze not work.
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Re: multiple imputation question - no variability across imputations?

Hi,

If you want to impute the missing values with mean or median or 0 or with any stats, you have to use Proc STDIZE procedure.The below is the example

proc stdize data=abc method=median reponly;
run;

For missing values if we want to impute with zeroes then the example would be

proc stdize data=abc missing=0 reponly;
run;

Kindly let me know if this useful or not.
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