Error with PROC MIANALYZE after regression

[ronaldo7]

I am using the National Health Interview Survey to look at cardiovascular disease rates by various demographic groups. I have multiply imputed my data by FCS method through PROC MI without any issue. Next, I would like to calculate age-adjusted prevalence rates for cardiovascular disease by various demographic groups. I have been using PROC SURVEYREG with ESTIMATE statements. When I use PROC MIANALYZE, I obtain an error message that reads, "ERROR: The model effect estimate is not in the PARMS= data set" even though it clearly is. I have added my SAS code below.

**MULTIPLE IMPUTATION**;
*Check how much data is missing*;
proc mi data=nhis nimpute=0 ;
	var CVD AGEP_A Sex RaceEthnicity Education IncomePovertyRatio BMICategory HealthInsurance
		URBRRL REGION;
	ods select misspattern;
run;

*Imputation phase*;
proc mi data=nhis nimpute=5 out=mi_fcs ;
	class CVD Sex RaceEthnicity Education IncomePovertyRatio BMICategory HealthInsurance URBRRL REGION;
	fcs plots=trace(mean std); 
	var CVD AGEP_A Sex RaceEthnicity Education IncomePovertyRatio BMICategory HealthInsurance URBRRL REGION;
	fcs discrim(CVD Sex RaceEthnicity Education IncomePovertyRatio BMICategory HealthInsurance URBRRL REGION /classeffects=include) nbiter =10 ; 
run;

**Analysis phase for age-adjusted prevalence**;
proc surveyreg data=work.mi_fcs;
	strata PSTRAT; 
	cluster PPSU;
	weight WTFA_A; 
	class AgeCat;
	domain _imputation_*RaceEthnicity;
	model CVD2 = AgeCat / noint solution clparm;
	estimate 'Total                     ' AgeCat 0.2015  0.1733  0.1568  0.1566  0.1551  0.1566;
	ods output ParameterEstimates=estimates (where=(_imputation_ ne . ));
run;

proc mianalyze parms(classvar=classval)=estimates;
	by RaceEthnicity;
	modeleffects estimate ;
	stderr StdErr;
run;
**In this last step with proc mianalyze, I encounter the error message that the model effect estimate is not in the parms= data set**

Would you please offer any support or guidance to resolve this issue? Thank you!