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Re: Confidence interval for transformed variables

To: "'dorothy pang'" <dorothy44@hotmail.com>, "'s news'" <s-news@lists.biostat.wustl.edu>
Subject: Re: Confidence interval for transformed variables
From: "Alan Hochberg" <alan.hochberg@prosanos.com>
Date: Thu, 26 Feb 2009 09:44:17 -0500
In-reply-to: <BAY126-W42B689E0C29EFD226D321CBCAD0@phx.gbl>
References: <BAY126-W42B689E0C29EFD226D321CBCAD0@phx.gbl>
Thread-index: AcmXwulHMvteptijQGyVAn+3WfWaDQAXDbrA

Hi Dorothy,

 

If you want an actual formula for the confidence limits, there is no simple answer to this, and it not only depends on the shape of the distribution of the three variables, but it also depends strongly on the correlations among the variables, i.e. how strongly they are related to one another.  Prepare for some Taylor series expansions and a lot of good old-fashioned pencil scratching, for which this handy summary on means and variances of ratios may come in handy:

 

http://www.stat.cmu.edu/~hseltman/files/ratio.pdf

 

Your alternative, assuming you have at least several hundred values of each variable, is to make a bootstrap estimate.  To get started down that path, Google “Bootstrapping” and check out the help for the S-plus “bootstrap()” function.

 

Alan

 

Alan Hochberg

VP, Research

ProSanos Corporation

225 Market St. Ste. 502,

Harrisburg, PA 17101

Tel 717-635-2124 * Fax 717-635-2575

 

 


From: s-news-owner@lists.biostat.wustl.edu [mailto:s-news-owner@lists.biostat.wustl.edu] On Behalf Of dorothy pang
Sent: Wednesday, February 25, 2009 10:33 PM
To: s news
Subject: [S] Confidence interval for transformed variables

 

Dear all,
 
I have obtained 95% CI for variables X, Y and W, and would like to obtain the 95% CI for the following new variable:
 
A= W+(In X)/Y
 
Please may I seek advice on how to go about obtaining the 95% CI for the newly derived variable A in Splus?
 
Thanks in advance.
 
 
Warm regards
Dorothy
 
 


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