R help - Oct 2011 - Multiple imputation on subgroups

Dear R-users,

I want to multiple impute missing scores, but only for a few subgroups in my
data (variable 'subgroups':  only impute for subgroups 2 and 3).
Does anyone knows how to do this in MICE?

This is my script for the multiple imputation:
imp <- mice(data, m=20, predictorMatrix=pred, post=post, 
	method=c("", "", "", "",
"","norm",
"norm","norm","norm","norm","norm"),
	maxit=20)	.

The final analysis should be on the dataset as a whole, so with subgroups 2
and 3 with observed and imputed values, and for subgroup 1 with observed
values only (and missing scores).	

Thanks.

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An ad-hoc method is to impute missing scores of the whole data set
including subgroup1, then change imputed scores in subgroup1 into NA.

Weidong Gu

On Mon, Oct 10, 2011 at 5:35 AM, Sarah <s1327720 at student.rug.nl>
wrote:
> Dear R-users,
>
> I want to multiple impute missing scores, but only for a few subgroups in
my
> data (variable 'subgroups': ?only impute for subgroups 2 and 3).
> Does anyone knows how to do this in MICE?
>
> This is my script for the multiple imputation:
> imp <- mice(data, m=20, predictorMatrix=pred, post=post,
> ? ? ? ?method=c("", "", "", "",
"","norm",
"norm","norm","norm","norm","norm"),
> ? ? ? ?maxit=20) ? ? ? .
>
> The final analysis should be on the dataset as a whole, so with subgroups 2
> and 3 with observed and imputed values, and for subgroup 1 with observed
> values only (and missing scores).
>
> Thanks.
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Multiple-imputation-on-subgroups-tp3889664p3889664.html
> Sent from the R help mailing list archive at Nabble.com.
>
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