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Re: [S] non S+ (epidemiology & analyzing "proportions")

To: Patrik Ohagen <Patrik.Ohagen@eu.pnu.com>
Subject: Re: [S] non S+ (epidemiology & analyzing "proportions")
From: Prof Brian D Ripley <ripley@stats.ox.ac.uk>
Date: Fri, 22 Sep 2000 15:21:15 +0100 (BST)
Cc: s-news@wubios.wustl.edu
In-reply-to: <006812EE.C21441@eu.pnu.com>
Sender: owner-s-news@wubios.wustl.edu
On Fri, 22 Sep 2000, Patrik Ohagen wrote:

>   Sorry about the off topic posting. It is far too tempting to take 
>   advantage of the wealth of knowledge "on the list".
>   
>   Could you recommend a good introduction text on Epidemiology ?

Um, that's a big topic: a bit like asking for a good introductory
Statistics text....  What is good for a Masters' Statistics student
is not good for a trainee Medic, and v.v.

>   Suppose A+B+C = 100 for all Subjects. Any ideas on how to analyze 
>   differences between treatment groups on a multidimensionally variable 
>   (a,b,c) ?
>   
>   You observe a, say, three dimensional variable on all subjects but the 
>   components always adds to 100. Did that make sense ? Any useful 
>   references ?

John Aitchison worked on this for many years:

@Book{Aitchison.86,
  author       = "J. Aitchison",
  title        = "The Statistical Analysis of Compositional Data",
  publisher    = "Chapman \& Hall",
  address      = "London",
  year         = "1986",
}

is about this, principally indeed about three components.

-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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