The very first step is to understand the possible nature of proportional hazards. This
is parallel to the usual advice in linear models to graph the data before you start
fitting complicated non-linear models.
zp <- cox.zph(CSHR.shore.fly, transform="identity")
plot(zp)# or plot(zp[3]) f
On Apr 7, 2014, at 9:36 AM, Tim Marcella wrote:
Hi All,
I am working in the 'survival' library and need to know how to code a
variable time interaction for left truncated data (not all subjects
followed from the start of the study). I therefor add in the entry
time and
exit time variables i
Hi All,
I am working in the 'survival' library and need to know how to code a
variable time interaction for left truncated data (not all subjects
followed from the start of the study). I therefor add in the entry time and
exit time variables into the formula.
Here is my basic formula
CSHR.sh
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