Hi
I am working on splus 2000 windows version. I have
a panel data set with each user experiencing multiple events.
I am using a conditional cox proportional hazard
model with stratification based on number of recurring events.
The sample of users with large number of
events,say 10 or 12 is small. So I am truncating the data at a
max of 6 events for each user as some of my covariates are significant till this
level.
I have three qeries:
1) If I need to decide at what level to truncate,
is there a metric like BIC to decide the best fitting model? Currently my sample
size varies if I truncate at different number of visits and I don't think I can
use BIC.
2)Is there anyway I can use all the information I
have about each user and still limit the actual estimation of parameters and
survival curves to say 6 events.
3)If I want to incorporate a different frailty
distribution (parametric is fine) for individuals in each strata how do I do
this?
Really appreciate all ur help as I am new to both
splus and survival models.
Regards
Zainab Jamal