| To: | mcheang@mac.com |
|---|---|
| Subject: | Re: instant hazard rate/survival |
| From: | Terry Therneau <therneau@mayo.edu> |
| Date: | Tue, 27 Sep 2005 08:22:22 -0500 (CDT) |
| Cc: | s-news@lists.biostat.wustl.edu |
| Reply-to: | Terry Therneau <therneau@mayo.edu> |
The simplest way that I know to get an estimate of the
hazard is to use smoothing splines.
fit <- survfit(Surv(time, status) ~ sex, data=lung)
temp1 <- smooth.spline(fit[1]$time, 1-fit[1]$surv, df=5)
temp2 <- smooth.spline(fit[2]$time, 1-fit[2]$surv, df=5)
plot( predict(temp1, deriv=1), type='l')
lines(predict(temp2, deriv=1), col=2)
------
The lung cancer data set is part of Splus (it's used in several
manual pages as an example). The plot shows the males to have a
higher initial hazard than the females.
You choice of 5 degrees of freedom for the spline was completely
arbitrary.
Terry Therneau
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