Re: st: RE: Re: Cluster Analysis

["Janet Noble" <noble_80@hotmail.com>]

Dear Professor Cox,
I apologise for a poorly worded request. The first part of the analysis was 
to see if any of the "diagnostic variables" clustered together and were 
effectively measuring the "same thing", which was why I considered cluster 
analysis. The second component was to see if these clusters, if they existed 
are related to both the site and state of the tumour. Previous work has just 
considered the effect of diagnostic variables one at a time on site or 
state. I thought that attempting to analyse the complete dataset would be 
more useful.
Thank you,
Janet



> From: "Nick Cox" <n.j.cox@durham.ac.uk>
> Reply-To: statalist@hsphsun2.harvard.edu
> To: <statalist@hsphsun2.harvard.edu>
> Subject: st: RE: Re: Cluster Analysis
> Date: Mon, 20 Oct 2003 11:52:52 +0100
>
> Janet Noble
>
> > I have inherited a dataset consisting of 40 variables
> > (binary, categorical
> > and continuous) which may be diagnostic predictors of the
> > state of a tumour.
> > I was going to use cluster analysis using Gower's
> > coefficient of similarity
> > (Cluster Analysis, Everitt et al) to find which variables
> > best predict the
> > tumour state but this does not appear to be implemented in
> > Stata 8. Is there
> > any other coefficicient or a completely different analysis
> > I could use in
> > Stata. I really do not want to buy another statistical
> > package but I will if
> > I have to.
>
> Given the clear identification of a response
> variable, this doesn't sound like a cluster analysis
> problem at all. Which predictive model(s) is or
> are appropriate will depend on how tumour state
> is quantified.
>
> Nick
> n.j.cox@durham.ac.uk
>
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