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st: Interval Censored Data Formatting and Intcens

 From "Ciril Bosch-Rosa" <[email protected]> To <[email protected]> Subject st: Interval Censored Data Formatting and Intcens Date Fri, 1 Jun 2012 14:12:40 -0700

```Hello,
I am trying to apply survival analysis in an environment where I can gather
data in a very limited way. I have been looking at literature on how to
manage the data but am not being successful at transmitting the structure of
my data to Stata.

It turns out that my data is very limited because I can only observe once in
time each subject. I am taking this as an interval censored problem, where
all subjects start being at risk at t_0 and then are censored until I look
at some of them at (say) t_13, where they are either 1 (dead) or 0 (right
censored). So, either the subject died at some before (and including) t_13
or he survived in which case I will never see him again (hence the right
censoring).

I looked at Cleves et al. but they are not clear on how I can tell Stata
that an even happened while "I was not looking". They tell me how to tell
stata I was not looking, but not how to tell I was not looking & something
happened:

id   t_0   t_1   event
1     1      3      0
1     13    15    1

the example above I tell stata there is a censored interval from t=3 until
t=13 and then I observe id=1 until he gets a failure at t=15, but I am not
able to tell stata that they might have died in the t3-t13 interval:

id   t_0   t_1   event
1     1      3      0
1     13    13    1
2     1      3      0
2     13    13     0

In other words I observe you from t=1 to t=3 and then you get censored until
I get one  peek at t=13, where I can see if you died between 3 and 13 or
not.

I believe this can be done with ""intcens  depvar1 depvar2 " where depvar
are my t=3 and t=13 respectively, my problem though is that there are
different interval censoring for different subjects

id   t_0   t_1   event
1     1      3      0
1     13    13    1
2     1      3      0
2     13    13     0
3     1      3      0
3     21    21    1
4     1      3      0
4     21    21     1

how can I tell intcens, "intcens depvar1 depvar2 if id=1|2 but depvar1
depvar3 if id=3|4" ??

Ciril

PS If you are wondering in what environment I get this kind of data; this is
a lab experiment where I apply a dose to groups of subjects and get
instantaneous results, hence my observing groups of them at the same "time".
My X-axis is not time, but rather "dosage" and I am trying to plot the
survivor curve given the very limited observable outcomes for each dosage.

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```