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Re: st: Measurement error


From   "Ángel Rodríguez Laso" <angelrlaso@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Measurement error
Date   Fri, 19 Dec 2008 12:56:05 +0100

Dear Nick,

May I have a copy of your paper "Cox, N.J. 2006. Assessing agreement
of measurements and predictions in geomorphology. Geomorphology 76:
332-346"?

Many thanks,

Angel Rodriguez-Laso

2008/12/17 Tom Simpson <tom.simpson32@yahoo.co.uk>:
> Nick,
> Thanks for the advice. I will look into alpha (or just stick to experiments with 2 methods of measurement!).
>
> Tom
>
>
> ----- Original Message ----
> From: Nick Cox <n.j.cox@durham.ac.uk>
> To: statalist@hsphsun2.harvard.edu
> Sent: Tuesday, 16 December, 2008 15:33:55
> Subject: RE: st: RE: Re: Measurement error
>
> -concord- is to be found in the archives for Stata Journal 7(3) 2007 (and shortly for Stata Journal 8(4) 2008).
>
> The limits of agreement are just (rough) confidence limits on a graph of difference vs mean for two methods. I don't know how a higher-dimensional analogue could be defined even if principle. I am clear that -concord- does not support it.
>
> You can find generalisations of concordance correlation to several measures in the literature but I haven't ever seen that they address the real scientific issues: rather, it seems, the question appealed to some methodologists. In any real situation with several measures that I have known the interest lies not in some overall measure of agreement but in looking at the fine structure of agreement or disagreement.
>
> There are various ideas in this vein within
>
> Cox, N.J. 2006. Assessing agreement of measurements and predictions in geomorphology. Geomorphology 76: 332-346
>
> The "geomorphology" element therein is largely immaterial, as the issues are generic.
>
> On a different tack, check out -alpha-.
>
> Nick
> n.j.cox@durham.ac.uk
>
> Tom Simpson
>
> I was referring to the Bland and Altman's limits-of-agreement as calculated in concord (Version 3.0.7, Steichen and Cox)
>
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