So it boils down to the
question(s): Why do meteorolgists use the Dependent/Independent terminology?
What do the 'dependent' data set depend on?
Geir
Geir Egil Eide
Biostatistician, Associate Professor II,
Centre for Clinical Research, Section for Epidemiology and Medical
Statistics,
Haukeland University Hospital, Department of Public Health and Primary Health
Care,
the Armauer Hansen House, University of Bergen,
N-5021 Bergen, Bergen
Norway
tel: +47 55975534 Home page: http://www.uib.no/isf/people/geir.htm
fax: +47 55976088
email: Geir.Egil.Eide@Haukeland.No
From: s-news-owner@lists.biostat.wustl.edu on
behalf of Sung, Iyue
Sent: Thu 5/19/2005 5:25 AM
To: Frank E
Harrell Jr
Cc: S-PLUS Newsgroup
Subject: Re: [S] statistical
terminology controversy
Mmm, well - I wasn't speaking to whether
Dependent/Independent are good
terms in meteorology; I'd agree that it may be
confusing. But I'm
assuming Weather folks have a good rationale for
using those terms.
Anyways, I interpreted the issue as whether Winnie and
colleagues should
use the common labels used in meteorology, or that used
by
statisticians.
> -----Original Message-----
>
From: Frank E Harrell Jr [mailto:f.harrell@vanderbilt.edu]
>
Sent: Wednesday, May 18, 2005 10:55 PM
> To: Sung, Iyue
> Cc: S-PLUS
Newsgroup
> Subject: Re: [S] statistical terminology
controversy
>
> Sung, Iyue wrote:
> >
> > I don't
see a controversy; it depends on the audience.
>
> I can't quite
agree with that. 'Dependent' and 'independent'
> datasets is not
valid terminology in any field that I know
> of, especially
statistics.
>
> -Frank Harrell
>
> >
>
> Different fields use different terms for the same
> statistical
concepts.
> > So you'd use dependent/independent if you're speaking
to
> > statisticians; development/testing to meteorologist.
>
>
> > I'm not even sure it'd be desirable to have the
same
> statistical term
> > used in all fields that uses
statistics (most, to be sure).
> > That would probably make dry journal
articles even drier.
> >
> > That's my $.02,
>
> - Iyue
> >
> >
> >
*From:* s-news-owner@lists.biostat.wustl.edu
>
> [mailto:s-news-owner@lists.biostat.wustl.edu]
*On Behalf Of
> > *Lambert.Winnie
>
> *Sent:* Wednesday, May 18, 2005 5:24 PM
>
> *To:* S-PLUS Newsgroup
>
> *Subject:* [S] statistical terminology
controversy
> >
> > * This is NOT an
S-LUS-specific question, * just
> letting you know so
>
> you don't have to read any further if not
interested in anything
> > non-S-PLUS.
>
>
> >
> >
>
> There is a bit of a controversy in my office
concerning specific
> > statistical
terminology. I developed a set of logistic
> regression
>
> equations that calculate the probability of
lightning
> occurrence for
> > the day
using a 15-year data set of several observation
> types. I
>
> stratified the data into two sets: one was used to
create the
> > equations, and the other was
used to test the equations'
> > performance. In
my field, these are commonly called the
> 'dependent'
>
> and 'independent' data sets, respectively.
>
>
> >
> >
>
> One of us insists that the common terminology be
used, the other
> > says the data sets should
be called 'development' and 'testing'
> > since
that is what they are used for, and since the terms
>
> 'dependent' and 'independent' refer to other issues
in
> statistics.
> >
>
>
> >
>
> Any statistics expert willing to jump into the fray
is welcome.
> > There is no money riding on
this, only pride.
> >
>
>
> >
>
>
>
*****************************************************************
>
>
> > Winifred C. Lambert Senior
Scientist/Meteorologist
> >
> > ENSCO,
Inc.
> >
> > Aerospace Sciences and
Engineering Division
> >
> > 1980 N.
Atlantic Ave., Suite 230
> >
> > Cocoa
Beach , FL 32931
> >
> >
VOICE: 321.853.8130 FAX: 321.853.8415
> >
>
> EMAIL: lambert.winnie@ensco.com
>
<mailto:lambert.winnie@ensco.com>
>
>
> >
> >
>
> AMU Quarterly Reports are available online:
>
>
> > http://science.ksc.nasa.gov/amu
>
>
> >
>
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