[R] Interrater and intrarater variability (intraclass correlation coefficients)

[Karl Knoblick]

Thanks! But I could not find a corresponding example in the mentioned book - at least the calculation of the intra- and interrater variability or the corresponding intraclass coefficients.
 
Karl

----- Ursprüngliche Mail ----
Von: Andrew Robinson <A.Robinson at ms.unimelb.edu.au>
An: Karl Knoblick <karlknoblich at yahoo.de>
CC: r-help at stat.math.ethz.ch
Gesendet: Dienstag, den 16. Mai 2006, 12:37:00 Uhr
Betreff: Re: [R] Interrater and intrarater variability (intraclass correlation coefficients)


Hi Karl,

this sounds like a variance components problem - I suspect that you
will find that you can tackle it using the lme() or lmer() functions
of the nlme and lme4 packages respectively.

The key reference for this tool is:

@Book{PB00:mixed,
  author =       {J. C. Pinheiro and D. M. Bates},
  title =        {Mixed-effects models in S and Splus},
  publisher =    {Springer-Verlag},
  year =         2000
}

Cheers,

Andrew



On Tue, May 16, 2006 at 10:09:54AM +0000, Karl Knoblick wrote:
> Hello!
>  
> I want to calculate the intra- and interrater reliability of my study. The design is very simple, 5 raters rated a diagnostic score 3 times for 19 patients.
>  
> Are there methods/funtions in R? I only found packages to calculate interrater variability and intraclass correlation coefficients for matrices of n*m (n subjects, m raters) - I have n subjects, m raters and r repetitions.
>  
> Can anybody help?
>  
> 
> Thanks!
> Karl
> 
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-- 
Andrew Robinson  
Department of Mathematics and Statistics            Tel: +61-3-8344-9763
University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
Email: a.robinson at ms.unimelb.edu.au         http://www.ms.unimelb.edu.au