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发帖数: 46 | 1 From Jonathan:
I have a question on the SAS proc MIANALYZE.
I have a dataset containing missing data, and I used proc MI (MCMC) to
generate 5 imputations
Then I ran logistic regression to the imputed dataset (by_imputation), and
then ran proc MIANALYZE to combine the results.
One of my variables, Education, was in 3 categories (
high school, >high school). The proc MIANALYZE give me the p-value of each
dummy comparing to the ref categories (HS vs HS vs
would like to know the overall p-value (Type-3 analysis) of Education itself
to the outcome instead of two separate p-values (Education1, Education2).
The Type-3 result normally appears in the un-imputed logistic regression,
but I couldn’t find it in the proc MIANALYZE.
How could I obtain an overall p-value for the variable Education in this
situation?
I tried treating Education as continuous when I ran logistic and then proc
MIANALYZE; however, the result doesn’t seem appropriate. Initially, when
Education was treated as categorical, Education1 was significant (HS vs
, and the Type 3 (Education overall) in the each imputed logistic was
significant (whereas Education2 - >HS vs
when Education was treated as continuous, its p-value became very
insignificant, probably due to it’s not an increasing trend (HS – the
middle category was causing the significance).
I looked at the SAS proc MIANALYZE manual, and it only showed categorical
variables (they call it classification) in 2 categories but not 3.
Thank you for your help. |
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