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- Pooling results after multiple imputations: For the proportional odds ...

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Posted 06-18-2018 05:33 PM
(1460 views)

Hello, all

I used PROC LOGISTICS to run ordinal logistic models on 5 multiply imputed data (My outcome is ordinal with 3 categories).

I also included "the unequalslopes" function in order to check the proportional odds assumption. I was able to get pooled results on the 5 ordinal logit analyses but __not__ on the 5 assumption test results. Is there a way to obtain pooled results on the proportional assumption tests (indicated in SAS output as "Linear Hypothesis Test Results").

I would greatly appreciate your help.

Here is my code:

```
proc logistic data=name;
by _imputation_;
model DV (order=data) = var1 var2 / unequalslopes MAXITER =1000 ;
var1: test var1_4 = var1_3;
var2: test var2_4 = var2_3;
run;
data perm.name2print; set perm.nameprint; parameter = compress (parameter); run;
proc mianalyze parms (classvar=classval)= perm.name2print;
modeleffects intercept var1 var2 ;
ods output parameterestimates = mianalyze_parms;
run;
data OR;
set mianalyze_parms;
OR=exp(estimate);
LCL_OR=exp(LCLMean);
UCL_OR=exp(UCLMean);
proc print; var parm OR LCL_OR UCL_OR;
run;
ods rtf close;
```

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Thank you for the helpful links. I personally agree that a visual assessment is much more persuasive, but a proportional odds test is more popularly used in my field, because I think it provides more objective results. I very appreciate your prompt replies, but perhaps I should stick to the assumption tests though.

All the best,

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