topic Re: How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_ in SAS Programming

How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_= 1 in the input PARMS= data set?"

leslie_echols — Sat, 26 Jan 2013 17:27:17 GMT

Hi all,

When using PROC MIANALYZE, I am encountering this error:

ERROR: Within-imputation Estimate missing for effect ... in _Imputation_= 1 in

the input PARMS= data set.

The PROC MIXED procedure I am using is running fine across all imputed data sets so I'm stumped. The effect in question is a 3-way interaction term with 1 of the IVs being a dummy-coded variable.

Thanks in advance for your input!

Leslie

Re: How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_= 1 in the input PARMS= data set?"

kaushal2040 — Fri, 02 Jan 2015 21:11:56 GMT

Hi,

I am also getting similar from proc glimmix imputation model.

ERROR: Within-imputation StdErr missing for variable in _Imputation_= 1 in the input PARMS= data

set.

Did you figure it out yet?

Thanks !!!

Re: How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_= 1 in the input PARMS= data set?"

SASdependent — Wed, 07 Jan 2015 21:42:40 GMT

I am also receiving this error (though with _imputation_ = 😎 when running MIANALYZE. I am not running any interactions. I would be very appreciative if you could share any resolution you found or if anyone else has any other suggestions. Thank you!

Re: How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_

Fettah — Wed, 29 Mar 2017 02:04:20 GMT

I'm also getting the same error.

Re: How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_

gyu — Wed, 26 Jul 2017 17:59:19 GMT

You could get this warning when you have more estimates in the input file than expecated by proc mianalyze. This is likely to happen if you want to get the the differences between estimates from a model with interaction term. In a standard output from analysis proc (e.g. proc glm or mixed) you could then get a lot of comparisons but most likely you wouldn't be interested in all of them. For example you could get the LS Means Difference for say levels 1 vs 2 and 2 vs 1 but you would need only one. Please try and filter the input dataset (the one from analysis procedure) for the unique comparisons only - as defined by variables in your 'class' and 'modeleffects' statements - before reading into proc mianalyze and that should allow to get the summary out of proc mianalyze and you should get rid of the warning.

If you were interested in summarizing all comparisons you would most likely need to sort the input dataset and use 'by' statment within proc mianalyze.

Re: How do I fix this error: "Within-imputation Estimate missing for effect ... in _Imputation_

Seth10 — Wed, 13 Mar 2024 15:17:21 GMT

I recently just had this issue, and I noticed that SAS had shortened the name of the interaction variable when I printed out the dataset.

An example of the proc print:

proc print data = a_preg;
where _imputation_ = 1;
run;

My variable's name had been shortened from new_surgery1*timetrying to new_surge*timetrying. Once I included the shortened variable name in PROC MIANALYZE, the program was able to run sufficiently.

Hope that works for you as well, because this error took me hours to troubleshoot.