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st: separate multiple imputations within the same dataset
From
"Neal Traven" <[email protected]>
To
"Statalist" <[email protected]>
Subject
st: separate multiple imputations within the same dataset
Date
Wed, 14 Jul 2010 14:15:30 -0700
Hello StataList,
I have a fairly large dataset (about 10K records) containing healthcare data
from both pre-hospital and hospital settings. Since I don't have Stata11,
I'm using -ice- for multiple imputation.
My problem is that I want do two separate imputation runs in the same
dataset -- one that uses the pre-hospital variables to impute missing
pre-hospital data, and one that uses hospital variables to impute missing
hospital data. Each of those imputation runs could also use patient data
(age, gender, etc.). Though I haven't thought it through yet, I might also
want to use some of the pre-hospital variables as predictors in the hospital
imputations; for example, whether a patient was intubated on the way to the
hospital might affect some of the hospital variables.
If I use the -m()- option to do, say, 5 imputations on the pre-hospital
variables, how can I use those results for the hospital variables? I don't
want to make a dataset with 36 times the original size of the dataset
(that's the original plus 5 imputed datasets, squared).
What I would really like to be able to do is to run both imputations in a
single Stata command, telling it to use the pre-hospital variables for
pre-hospital imputation and the hospital variables for hospital imputation
... at the same time.
Is that possible? Is there some way to do this? Am I making any sense at
all?
----------
Neal D. Traven, PhD
Research Consultant
Harborview Injury Prevention & Research Center
325 Ninth Ave, Box 359960, Seattle WA 98104-2499
206-744-9459, www.hiprc.org
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