Displaying 1 result from an estimated 1 matches for "survhb".
2009 Dec 22
1
Slow survfit -- is there a faster alternative?
Using R 2.10 on Windows:
I have a filtered database of 650k event observations in a data frame
with 20+ variables.
I'd like to be able to quickly generate estimate and plot survival
curves. However the survfit and cph() functions are extremely slow.
As an example: I tried
results.cox<-coxph(Surv(duration, success) ~ start_time + factor1+
factor2+ variable3, data=filteredData) #(took a