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Re: st: OLS regression versus survival analysis
Thank you all for your replies; I have decided to stick with survival analysis (and I've ordered Cleves, GOuld and Gutierrez- thanks for the tip!).
On Wed, 12 Jun 2002 13:29:41
David Greenberg wrote:
>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 <email@example.com>
>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 firstname.lastname@example.org
>> > 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
>> Start with Kaplan Meier graphs, which are even easier to interpret
>> than OLS
>> regression, and work from there.
>> Ronan M Conroy (email@example.com)
>> 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?
>> * 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/
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