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Re: st: survival analysis

From   martine etienne <[email protected]>
To   [email protected]
Subject   Re: st: survival analysis
Date   Fri, 15 Oct 2010 10:25:11 -0700 (PDT)

thank you Steve,
1. the event of interest is viral suppression=1, the event could only happen one 
time, but because there are a few patients with repeated measure of viral 
suppression it may have happened more than once
2. yes, to question number 2
3. yes for question number 3
4. No, I have time 2 for all patients

thanks for you help

----- Original Message ----
From: Steve Samuels <[email protected]>
To: [email protected]
Sent: Fri, October 15, 2010 11:59:23 AM
Subject: Re: st: survival analysis

Martine Ettiene:

This sounds like a "cohort" of patients who were defined at time 1 and
about whom information was gathered at time 2

Some questions to clarify your problem:

1. What was the event of interest?   Could the event have happened
more than once to a patient?

2. When you say, "retrospective", do you mean that, if the event took
place between time 1 and time 2 you have the date?

3. Are there any patients for which the only information is that the
event took place between time 1 and time 2, but the dates are
uncertain (e.g. you have only month) or missing?

4. Are there patients for whom you have _no_ information at time 2?

For your information:  Our program is spelled "Stata", not "STATA"
(see section 8.2 of the FAQ).


Steven J. Samuels
[email protected]
18 Cantine's Island
Saugerties NY 12477
Voice: 845-246-0774
Fax:    206-202-4783

On Fri, Oct 15, 2010 at 11:23 AM, martine etienne <[email protected]> wrote:
> Dear Statalist,
> I have a question about using survival analysis in STATA. I have a
> cross-sectional dataset (of patients on a particular regimen from time 1 to 
> 2).  The thing I'm unsure about is my time 2 which is really the date of the
> cross-sectional data collection. I have previous dates going back
> retrospectively from cross-sectional data analysis to date 1.
> Can I use survival analysis with this cross-sectional data?
> thanks,
> Martine
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