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Re: st: survival analysis with time varying covariates


From   Austin Nichols <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: survival analysis with time varying covariates
Date   Tue, 2 Aug 2011 15:45:38 -0400

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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