Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]
David Winsemius
2008-Feb-19 01:56 UTC
[R] Hazard model with long-term survivor (cure model)
"=?UTF-8?B?5a6L5pe25q2M?=" <shigesong at gmail.com> wrote in news:5abc11d80802180008w51fa2139jcedae7efe068c67c at mail.gmail.com:> Dear All, > > Are there R packages that can estimate survival model with long-term > survivors? This is sometimes known as "cure" model or > "split-population" model. Thanks.The usual Cox model would certainly allow the analysis of observations with long-term survivors, but I am wondering if you want some sort of parametric model or one which compares a cohort's survival to some sort of external standard population expected survival. Therneau and Gramsch's text has a chapter on working with such expected survival estimates and the survival package can probably be considered an R atandard. If you set up a parametric Weibull model with a decreasing hazard, you get a cure, at least asymptotically. I think Harrell's Design package can conjure up accelerated time models that include the Weibull. Although the SRAB cancer methodologists assert that: "Neither SAS nor Splus can be used to fit survival models to relative survival data." (1) I would be very dubious regarding such a claim. See for instance: <mf.uni-lj.si/ibmi/biostat-center/predtiski/CMPB_Pohar_Stare_relsurv.pdf> <ncbi.nlm.nih.gov/pubmed/15848272> <cran.r-project.org/web/packages/relsurv/relsurv.pdf> -- David Winsemius 1) <srab.cancer.gov/cansurv/models.html>
Gabor Grothendieck
2008-Feb-19 02:46 UTC
[R] Hazard model with long-term survivor (cure model)
Maybe: post.queensu.ca/~pengp/software.html On Feb 18, 2008 3:08 AM, ??? <shigesong at gmail.com> wrote:> Dear All, > > Are there R packages that can estimate survival model with long-term > survivors? This is sometimes known as "cure" model or "split-population" > model. Thanks. > > Shige >