Re: st: Split Population Survival (Cure) Model with discrete time data

[Javier Ses� <javisese@unizar.es>]

Thanks Paul for your suggestions.

I couldn't have access to this article, although 
my guess is that these routines are for 
continuous time data (I searched for them from the Stata help).
In my case, I have discrete time data.

Any suggestions to solve it with this kind of data?
Thank you in advance


At 13:12 19/12/2007, you wrote:

> Look in The Stata Journal (2007), Vol. 7, Number 
> 3, pp. 351-375 for an article on cure models by Paul Lambert.
>
> You can retrieve Lambert's set of routines by 
> searching for -strsmix- from Stata Help. It's a 
> very flexible set of parametric cure models.
>
> EPW
>
>
>
> Javier Sesé wrote:
>
> > Dear all,
> >
> > I am trying to estimate a Split Population Survival Model (also called
> > Cure Model) with discrete time duration data in Stata 9.0. This model
> > relaxes the assumption that all subjects will eventually experience
> > the event of interest by supposing that a proportion of the population
> > never fail.
> >
> > The -spsurv- Stata module developed by Stephen P. Jenkins estimates
> > this model, but it assumes that the cure probability (the probability
> > of a subject never failing) is common to all individuals. The code can
> > be found at:
> > http://fmwww.bc.edu/repec/bocode/s/spsur_ll.ado
> > http://fmwww.bc.edu/repec/bocode/s/spsurv.ado
> >
> > However, I am interested in running a Split Population Survival Model
> > that allows for differences between individuals in this probability,
> > for instance, by using a logistic relationship between some
> > explanatory variables and the cure probability. But I have no clue
> > about how to do this in Stata, or how to modify the original code of
> > the -spsurv- module to incorporate this heterogeneity in the cure
> > probability.
> >
> > If it helps, Forster, M. and Jones, A.M. (2001) ("The
> > role of tobacco taxes in starting and quitting smoking: duration
> > analysis of British data" Journal of the Royal Statistical Society A,
> > 164(3), pp.517-547) have developed a Stata code to estimate this model
> > for continuous time data (the code can be found at
> > http://www.york.ac.uk/res/herc/software/Jrsscode.pdf).
> >
> > Any help would be much appreciated.
> > Thank you in advance
> >
> > *
> > * 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/
> --
> E. Paul Wileyto, Ph.D.
> Assistant Professor of Biostatistics
> Tobacco Use Research Center
> School of Medicine, U. of Pennsylvania
> 3535 Market Street, Suite 4100
> Philadelphia, PA  19104-3309
>
> 215-746-7147
> Fax: 215-746-7140
> epw@mail.med.upenn.edu
> http://mail.med.upenn.edu/~epw/
> *
> *   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/


*
*   For searches and help try:
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*   http://www.ats.ucla.edu/stat/stata/