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Re: st: OLS regression versus survival analysis


From   Ronan Conroy <rconroy@rcsi.ie>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: OLS regression versus survival analysis
Date   Wed, 12 Jun 2002 16:33:22 +0100

on 12/6/02 3:42 PM, ellen mastenbroek at e.mastenbroek@lycos.com wrote:

> Thanks for your answer. However, I may not have been clear enough in stating
> my question: I meant OLS with time until the event as the dependent variable.

You could use -intreg- if you wanted to handle censored times within and OLS
framework. As I see it, however, you are risking mixing up cause and effect.
The effect, the predicted variable, is failure. The cause of failure is
exposure to risk. Exposure to risk is a function of
- what risk factors you are exposed to and
- how long you are exposed to them.

You can express your results in terms of median time to failure for
different groups, and this is a very useful way of doing so, but graphing
them is even more informative, since you can then show the whole time
course. 

Ronan M Conroy (rconroy@rcsi.ie)
Lecturer in Biostatistics
Royal College of Surgeons
Dublin 2, Ireland
+353 1 402 2431 (fax 2329)

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