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RE: st: survival analysis with time varying covariates


From   "D.W.Richards" <d.w.richards@open.ac.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: survival analysis with time varying covariates
Date   Wed, 3 Aug 2011 09:23:29 +0100

Hi Meg,


I recommend reading the survival analysis book.  It explains two ways of structuring your data to deal with TVCs.  Here is the link.

http://www.stata-press.com/books/saus.html

I used it for my TVCS and it worked well.

Dan

________________________________________
From: Austin Nichols [austinnichols@gmail.com]
Sent: 02 August 2011 20:45
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: survival analysis with time varying covariates

mosterbur <megan.osterbur@gmail.com>:
All of the data is measured annually?
Consider shifting to a discrete-time model; see
http://www.iser.essex.ac.uk/resources/survival-analysis-with-stata-module-ec968

On Tue, Aug 2, 2011 at 3:06 PM, mosterbur <megan.osterbur@gmail.com> wrote:
> I'm working on project using survival analysis to predict policy adoption and
> I am having trouble with how to handle to my time varying covariates(TVCs).
> My dataset is annual data for 35 countries from 1971 to 2005 and includes
> variables for inflation, education expenditures, gdp, etc all of which vary
> annually. Everything that I have read has indicated that for TVCs I need to
> use stsplit to split my data, but this seems problematic given that I would
> need to split the data for every year for every country.
>
> Can anyone explain to me how I can appropriately handle the TVCs?
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