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Re: st: OLS regression versus survival analysis


From   David Greenberg <dg4@nyu.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: OLS regression versus survival analysis
Date   Wed, 12 Jun 2002 13:29:41 -0400

Censoring is not the only reason for preferring survival analysis to OLS 
regression for event times or logged event times. As is pointed out in 
Cleves, Gould and Gutierrez, AN INTRODUCTION TO SURVIVAL ANALYSIS USING 
STATA, censorship could be handled through selection models. It is 
rather that the distribution of event times are often far from normal 
that makes survival models usually superior to OLS regression. David 
Greenberg, Sociology Department, New York University. 

----- Original Message -----
From: Ronan Conroy <rconroy@rcsi.ie>
Date: Wednesday, June 12, 2002 10:10 am
Subject: Re: st: OLS regression versus survival analysis

> on 12/6/02 1:05 PM, ellen mastenbroek at e.mastenbroek@lycos.com 
> wrote:
> > I have set out to do a survival analysis, but it has become 
> clear that only 3
> > % of the cases are censored. Is it advisable to then carry out 
> regular OLS
> > regression instead (the advantage being that OLS results are 
> more easy to
> > interpret)?
> 
> No. Your endpoint is binary. You want to figure out what effect 
> does a
> particular predictor have on the risk of an event happening. 
> That's a hazard
> ratio. 
> 
> Start with Kaplan Meier graphs, which are even easier to interpret 
> than OLS
> regression, and work from there.
> 
> 
> 
> Ronan M Conroy (rconroy@rcsi.ie)
> Lecturer in Biostatistics
> Royal College of Surgeons
> Dublin 2, Ireland
> +353 1 402 2431 (fax 2329)
> 
> --------------------
> And now, Mr President, how about the global alliance against 
> climate change?
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