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st: R: RE: R: Estimating a model where the dependent variale is a ratio


From   "Carlo Lazzaro" <[email protected]>
To   <[email protected]>
Subject   st: R: RE: R: Estimating a model where the dependent variale is a ratio
Date   Fri, 4 Sep 2009 16:29:54 +0200

Dear Nick,
thanks for the clarification. Actually I do not owe the latest edition of
the textbook and so it's time for updating!

Besides, and more important, I apologize to Bill Gould for miswriting his
name in my yesterday's and today's postings (Gould WG instead of Gould WW)
and, again, thanks to Nick for pointing this out to me privately.

Kind Regards,
Carlo

-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Nick Cox
Inviato: venerdì 4 settembre 2009 15.16
A: [email protected]
Oggetto: st: RE: R: Estimating a model where the dependent variale is a
ratio

Carlo and others interested should note that he is not referring to the
latest edition. 

The bibliographic details are 

An Introduction to Survival Analysis Using Stata, 2nd Edition 
Authors: Mario Cleves, William W. Gould, Roberto G. Gutierrez, and Yulia
Marchenko 
Publisher: Stata Press 
Copyright: 2008 
ISBN-10: 1-59718-041-6 
ISBN-13: 978-1-59718-041-2 
Pages:  372; paperback 
Price:  $56.00 

Visit 

http://www.stata.com/bookstore/saus.html

for much more information including links that make it clear what has
changed since any previous edition you may have access to. 

Nick 
[email protected] 

Carlo Lazzaro

from the brief outline of your problem, it would seem that
you have all the items for performing a Survival Analysis in Stata. 

For further details on Survival Analysis topics, I will recommend you to
take a look at:
Cleves MA, Gould WG, Gutierrez R. An Introduction To Survival Analysis
Using
Stata. Revised edition. College Station: StataPress, 2004;

Johannes Schoder wrote:

<In my dataset I have information on the survival time in months for
each 
individual, the county where he was diagnosed, and the cancer type he 
was diagnosed with.>

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