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Re: st: Detecting Outliers


From   Ronnie Babigumira <[email protected]>
To   [email protected]
Subject   Re: st: Detecting Outliers
Date   Tue, 02 May 2006 15:34:30 +0200

I would go with -lv- or -iqr- and then list everything above the "severe" outlier fences and then crosscheck with the patient records. This is something I do in my own work. Indeed there will be some discussion on what to do if you find that they are not errors however, that was not your question.



Raphael Fraser wrote:

my objective is simple to locate potential outliers then cross check
with patient records to ensure that the information is legitimate.
error free.

On 5/2/06, Richard Goldstein <[email protected]> wrote:
an outlier is something that needs to be predefined; I think
of an outlier as something that is surprising given my model
of the data; routines such as box plots force their model of
the data on you

what is your model of the data?

Rich

Raphael Fraser wrote:
> I have 10 years data (5000 observations) on patients heights and
> weights. Is there any ado-file that could assist in locating possible
> outliers?
>
> Raphael

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