[EMAIL PROTECTED] (Christopher J. Mecklin) wrote in message
news:<[EMAIL PROTECTED]>...
> Judith, Rich, Art, edstat-l list;
>
> My thanks to your replies and my apologies for not articulating my question
> better in my initial post. To be somewhat less vague about my question
> (I'll probably be still a little vague because of my lack of knowledge),
> the colleague of mine who asked about "sensitivity analysis" meant the
> question in regards to population ecology. To try to be more specific about
> a topic that I know little about, an ecologist might be modelling the risk
> of extinction. The model will involve several parameters. The use of the
> term "sensitivity analysis" in this context apparently means determining
> how "sensitive" the model's predictions are to uncertainty in the estimates
> of the parameters to help determine what parameters need to be estimated
> "more carefully". (These last few sentences were paraphrased from
> http://www.ramas.com/pva.htm, a hit I got from a hastily conducted Google
> search of "sensitivity analysis ecological model".)
>
> I was sent a list of references by another reader of this newsgroup that I
> passed on to my colleague that he found satisfactory for his purposes. I
> suppose I could post that list of references if anyone else is interested.
>
> The use of this term "sensitivity analysis" is apparently from the use of
> the term "sensitivity" in epidemiology (and quite possibly others use of
> the term). This seems to be one of those situations where the same word
> means different things to different people.
>
> Again, my apologies for the vague request.
>
> CJM
>
> At 11:27 AM 02/06/2002 -0500, Conn, Judith wrote:
> >I do know that in epidemiology and medical science the purpose is to find
> >out how "sensitive" the test is . This ia what I think of when talking
> >sensitivity analysis. Further info can be obtained from P Armitage & G
> >Berry, "Statistical Methods in Medical Research", Blackwell Scientific
> >Publications. Judy Conn
> >
> > > -----Original Message-----
> > > From: Rich Ulrich [SMTP:[EMAIL PROTECTED]]
> > > Sent: Wednesday, February 06, 2002 9:55 AM
> > > To: [EMAIL PROTECTED]
> > > Subject: Re: Sensitivity Analysis
> > >
> > > On 31 Jan 2002 10:06:36 -0800, [EMAIL PROTECTED]
> > > (Christopher J. Mecklin) wrote:
> > >
> > > > I had a colleague (a biologist) ask me about sensitivity analysis. I am
>
> > > > not familiar with the technique (above and beyond knowing that the
> > > > technique exists). What books/articles/websites/etc. would be good
> sources
> > > > for my colleague to learn about sensitivity analysis. Since he's a
> > > > biologist and not a statistician, I'm assuming he would prefer a
> treatment
> > > > geared towards application rather than theory.
> > >
> > > I have not seen any reply to this. I suspect that there might be
> > > too many options that refer to 'sensitivity' and none of us
> > > are sure what you are interested in, precisely.
> > >
> > > What's another keyword? I pair specificity with sensitivity; but
> > > I don't refer to 'sensitivity analysis', I say 'discriminability.'
> > > Your question -- and my background thoughts of 1000-generation,
> > > simulation analyses in genetic model ling -- makes me think of
> > > something I saw years ago, called 'perturbation analyses'.
> > >
> > > Try Google, or try us again with additional detail.
> > >
> > > Hope this helps.
> > > --
> > > Rich Ulrich, [EMAIL PROTECTED]
> > > http://www.pitt.edu/~wpilib/index.html
> > >
> > >
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> Christopher J. Mecklin, PhD
> Assistant Professor
> Department of Mathematics and Statistics
> Murray State University
> Murray, KY 42071
> Phone: 270 762-5437
> Fax: 270 762-2314
> http://campus.murraystate.edu/academic/faculty/chris.mecklin/index.htm
>
>
>
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sensitivity analysis is not the same as sensitivity and specificity
from epidemiology. these latter terms are used when describing the
characteristics of a diagnostic test and they ultimately relate to the
utility of a test for diagnosis. my memory says that sensitivity
analysis is somewhat like a multi-method analysis. suppose you have a
finding, say, from a regression model of Y on X. if you find another
way of measuring X and you get "about" the same results, then the
relationship is sensitive to changes in methodology and not method
dependent.
JJD
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