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Re: st: create new variable from imputed variable; -ice-


From   "Cathy L. Antonakos" <cathya@umich.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: create new variable from imputed variable; -ice-
Date   Sat, 3 Oct 2009 17:14:30 -0400 (EDT)

Thanks, I will try these ideas.
Cathy


On Sat, 3 Oct 2009, Fred Wolfe wrote:

Date: Sat, 3 Oct 2009 15:12:40 -0500
From: Fred Wolfe <fwolfe@arthritis-research.org>
Reply-To: statalist@hsphsun2.harvard.edu
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: create new variable from imputed variable; -ice-

There are two solutions to your problem with ice. First, you can use
the match option. That will match your missing values with real
observed values. Second, you can impute with ologit if your range is
not too great. Sorry, I don't remember the range of the CESD exactly,
but I think you could do that too. Check out the help file and try
both methods separately.

Fred

On Sat, Oct 3, 2009 at 2:39 PM, Cathy L. Antonakos <cathya@umich.edu> wrote:
Using -ice-, I created 5 imputed datasets. The imputed variable of key
interest is a continuous variable. When I examine the values of the imputed
variable, there are values outside the valid range, which I understand can
happen when using -ice-.

The key variable (depression, the CESD) is sometimes used as a dichotomy to
determine how many cases lie at or above 16. An even higher cut-off may be
used.

I would like to create a dichotomous variable from the imputed continuous
variable. Will I run into any trouble doing that? Should I examine the
distribution,  to see whether the percentage of cases at or above 16 is
similar to that in the original data?

Note that the CESD is a total score, based on a set of variables. However, I
did not impute values for the individual variables. I imputed values for the
CESD total score.

I would be interested in a reference addressing this type of data
manipulation using imputed data.

Thank you for your help.

Cathy Antonakos
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--
Fred Wolfe
National Data Bank for Rheumatic Diseases
Wichita, Kansas
NDB Office  +1 316 263 2125 Ext 0
Research Office +1 316 686 9195
fwolfe@arthritis-research.org

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