| Date: | Fri, 2 Dec 2005 11:54:25 -0500 |
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| Reply-To: | Venita DePuy <depuy001@NOTES.DUKE.EDU> |
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| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
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| From: | Venita DePuy <depuy001@NOTES.DUKE.EDU> |
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| Subject: | Re: Multiple Imputation in a Narrow Range |
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| In-Reply-To: | <20051202111901.C09D.JWD@griffin.uga.edu> |
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| Content-Type: | text/plain; charset="US-ASCII" |
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Hi all -
What about just imputing the values and stating a minimum of 0 and a
maximum of 0.6 in the Proc MI?
Although you may have a problem getting convergence . . . but that's the
method I'd try first.
-Venita
> finished. These values are not true missing values; they are somewhere
> between 0 and the calibration threshhold, but they just can't be
measured
> with the same accuracy as readings above the calibration threshhold, so
> there are no accurate values within that range. How would you handle
such
> values? (Discarding is not an option.)
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