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censa
2009 Jun 23
0
Fractional Polynomials in Competing Risks setting
...=TRUE)
where with.Withtime is the time to treatment withdrawal, with.Wcens is
the censoring indictor for the event and all.firstint is the age at
baseline.
To look at the competing risks regression modelling when age in
untransformed, I can use the following code:
fitn<-crr(nearma$with.Withtime,censaeb,as.matrix(nearma$all.age),failcode=2,cencode=0)
where censaeb is the censoring indicator which is coded 1 for the
event of interest (time to treatment failure), 2 for the competing
risk and 0 for the censored value.
Can anyone suggest how I can effectively combine these situations i.e.
is there a...