I misread your question. What you want is unusual, so unusual in fact
that you should realy think very very very hard whether that is realy
what you want (as may be obvious, I doubt that).
But be that as it may, you can see that as interactions with dummies
for each period, which would result in a value 0 at periods 2-4 for
TREATMENT1, value 0 for periods 1, 3-4 for TREATMENT2, etc.
*------------------- begin example -------------------------------
drop _all
input id time died TREAT1 TREAT2 TREAT3 TREAT4
1 42 0 5 17 23 8
2 56 1 9 3 22 16
3 12 1 7 11 6 .
end
stset time, failure(died) id(id)
stsplit period, at(6 12 24)
forvalues i = 1/4 {
bys id (period): replace TREAT`i' = 0 if _n != `i'
}
list
*----------------------- end example ----------------------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
-- Maarten
--- Allan Garland <[email protected]> wrote:
> Salah,
>
> Thanks for your answer. The problem with that solution is that I
> need to separately assess the impact of each treatment. Any other
> ideas?
>
> Allan
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
__________________________________________________________
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*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
