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st: multiple imputation postestimation commands with complex survey data
From
"Cabrera-Nguyen, Elian" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: multiple imputation postestimation commands with complex survey data
Date
Mon, 28 Oct 2013 05:40:10 +0000
Dear Statalisters,
I am relatively new here, and I apologize in advance for any unintentional
breaches in etiquette. I promise to engage in appropriate acts of corporal
mortification to atone for any breaches of etiquette identified by fellow
Statalisters.
I am using Stata 12.1/SE on a Windows platform. I am analyzing complex
survey data. Using -mi impute chained-, I have imputed M=100 data sets.
I am having difficulty finding out how to conduct two rather basic
analyses using -mi estimate: svy, subpop(indicator):-
Specifically, I have been trying to (a) perform a simple t-test to compare
means of a continuous variable between documented and undocumented
immigrants, and (b) conduct pairwise comparisons of mean scores of a
continuous variable by race (a polytymous variable). Prior to imputation,
I did so successfully by using the following code:
For a simple t-test:
svy, subpop(indicator): mean SCORE, over(IMSTAT)
test [SCORE]_subpop_1= [SCORE]_subpop_2
To conduct the ANOVA, I obtained mean scores for the continuous variable
by race and then performed pairwise comparisons as follows:
svy, subpop(indicator): regress SCORE i.RACE, baselevels
testparm i.RACE
pwcompare i.RACE, pveffects mcompare(bonferroni)
However, after extensive research (including online reviews of the MI
literature specific to Stata; the Multiple Imputation section of the Stata
manual; and consulting wonderful texts including Carpenter and Kenward's
(2013) excellent book entitled _Multiple Imputation and its Practical
Applications_) , I have been unable to find a way to conduct an analog to
the above analyses using -mi estimate- postestimation commands. I am
probably missing something very basic, but I cannot figure out what it is.
Any guidance would be greatly appreciated, as would any well-deserved
mocking of my ignorance and stupidity.
Thanks you so much for your time and for this invaluable resource.
Sincerely,
Elián
Note: Email written using voice dictation software. Apologies for any
typos or grammatical errors
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