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RE: st: RE: Classifying Subjects
I still recommend, although not
impartially, seeing what -tsspell-
can do for you.
> -----Original Message-----
> From: email@example.com
> [mailto:firstname.lastname@example.org]On Behalf Of
> Raphael Fraser
> Sent: 18 October 2005 18:28
> To: email@example.com
> Subject: Re: st: RE: Classifying Subjects
> >Do you mean just consecutive tests?
> yes. Hence it is quiet possible that some subjects cannot be
> On 10/18/05, Nick Cox <firstname.lastname@example.org> wrote:
> > Your example indicates that gaps may exist in the data.
> > Subject 31 was not measured in various years e.g. 1987,
> > 1988. Thus if you want classification according to
> > consecutive years you need to specify how missing
> > [meaning, not present in the data] values are to be
> > treated. Do you mean just consecutive tests?
> > In addition, it seems possible in principle that
> > an individual could be assigned to two or more
> > classes according to different parts of their history.
> > So, I am not clear that writing specific code is
> > the best answer to you until these ambiguities are
> > resolved. But if you go
> > . bysort id (dot) : gen t = _n
> > . tsset id t
> > you can look for spells in your data according to
> > your stated criteria. The user-written
> > program -tsspell- from SSC can be then used. It has
> > a fairly detailed help file.
> > Nick
> > email@example.com
> > Raphael Fraser
> > > I have a longitudinal data set that contains nearly 500
> patients. All
> > > patients were tested at these times dot (date of test)
> for the level
> > > of protein in the blood; the result being 0 (no protein) T (trace
> > > amounts of protein), 1, 2, 3 or 4. I would like to classify these
> > > subjects based on the criteria below:
> > >
> > > "Minimal" if protein is T on at least 2 out of 3
> consecutive years.
> > > "Sustained" if the result is minimal and lasts 3 years or more.
> > > "Heavy" if sustained with protein 2 or greater lasting 3
> > > years or more.
> > >
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