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

["E. Paul Wileyto" <epw@mail.med.upenn.edu>]

When you say discrete time, do you mean that you have (long) time 
intervals with a beginning and end, and the event happens some time in 
between?  If so, we can write something simple for that using ml.

Paul

Javier Ses� wrote:

> 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:
> *   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:
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*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/