Along the line of Nick Cox's suggestion and Ronan's advice - you could generate BMI (body mass index) variable that would unify height and weight followed by a histogram. These ought to identify the extremes.
Regards,
bw
----------------------------------------
> From: [email protected]
> Subject: Re: st: Detecting Outliers
> Date: Wed, 3 May 2006 15:31:14 +0100
> To: [email protected]
>
> On 2 Beal 2006, at 14:27, 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.
>
> You will have to look at multivariate outliers, then. A height of
> 160cm is believable as is a weight of 120 Kg, but in combination they
> suggest error (but do not prove it). You need to think of groups of
> measures which, together, define outliers.
>
> =========
> Ron�n Conroy
> [email protected]
> +353 (0) 1 402 2431
> +353 (0) 87 799 97 95
> www.flickr.com/photos/ronanconroy
>
>
>
>
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