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论坛 数据科学与人工智能 数据分析与数据科学 SAS专版
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2020-12-09
I hope to get pooled Dunnett adjusted confidence intervals from multiple imputed datasets. I first create 100 imputed datasets using PROC MI. Then I get the Dunnett adjusted CIs for treatment effect difference of A vs. C and B vs. C using Estimate statement with adjust=dunnett option in PROC MIXED. But it seems it’s not feasible to use PROC MIANALYZE to pool the Dunnett adjusted upper/lower limits or request an Dunnett adjustment to the CIs from PROC MIANALYZE?Can anyone give me some advice? Many thanks!

Below is my SAS code:
PROC MI data=toimp out=anami seed=124695 nimpute=100; by TRT ; var BASE w3 w5 w7 w9 w13 w17; EM maxiter=1000; mcmc chain=multiple impute=full; run;


PROC MIXED data=anami; class TRT; model week17 = TRT BASE / solution; lsmeans TRT/ADJUST=DUNNETT cl pdiff=control("C"); ods output Diffs=lsdiffs LSMeans=lsm solutionF=Parms; by _Imputation_; run;


PROC MIANALYZE parms(classvar=full)=lsdiffs; class TRT; modeleffects TRT; ods output ParameterEstimates=MIAN_lsdiffs; run;  
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