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Re: st: RE: continuous to categorical and determination of monotonic categories


From   Constantine Daskalakis <c_daskalakis@mail.jci.tju.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: continuous to categorical and determination of monotonic categories
Date   Tue, 09 Dec 2003 15:01:08 -0500

At 01:29 PM 12/9/2003, you wrote:
I'll take the motivation here as given,
although clearly a separate discussion
on merits and demerits is possible.

There may be formal machinery to do this, but
I'd tend to proceed in an exploratory manner.

One key is to look at the conditional distributions
and see whether their properties change as expected.

Among other tools, you could look at a bundle
of cumulative distribution curves or kernel
estimates of density functions. -distplot- or -qplot- from
SSC have easy handles to draw graphs -by()-.

Nick
n.j.cox@durham.ac.uk
Agreed. But is there a non-parametric procedure, say the equivalent of Stata's -ksm- (smoother) for binary outcomes?
CD




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________________________________________________________________

Constantine Daskalakis, ScD
Assistant Professor,
Biostatistics Section, Thomas Jefferson University,
211 S. 9th St. #602, Philadelphia, PA 19107
Tel: 215-955-5695
Fax: 215-503-3804
Email: c_daskalakis@mail.jci.tju.edu
Webpage: http://www.jefferson.edu/medicine/pharmacology/bio/
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