On Wed, Aug 1, 2012 at 3:08 PM, <fra.meucci@hotmail.it> wrote:
> Dear Göran Broström,
> I am trying to use AFTREG function for R to estimate a loglogistic
> survival function, including time dependent covariates.
> Actually, my Subset includes some partial events; the idea is to model
> this kind of events using something similar to “weights” in the SURVREG
> function.
> In particular I would like to manage this kind of Dataset:
>
> IdRow StartTime EndTime Event IdObs Cov Weight
> 1 0 1 0 1a 0.1284 0.3
> 2 1 2 1 1a 0.4896 0.3
> 3 2 3 0 1b 0.7017 0.7
> 4 3 4 1 1b 0.8564 0.7
> 5 0 1 0 2 0.7964 1
> 6 1 2 0 2 0.8466 1
> 7 2 3 0 2 0.2234 1
> 8 3 4 1 2 0.843742 1
> 9 0 1 0 3 0.643382 1
> 10 1 2 0 3 0.300433 1
> 11 2 3 0 3 0.666964 1
>
> with this function
>
>
AftRegTD<-aftreg(Surv(StartTime,EndTime,Event)~Cov,dist="loglogistic",id=dfTest$IdObs,data=dfTest)
>
> Any suggestion to introduce "weights" as argument in aftreg
function?
>
No, not for the moment, although it would be straightforward to add.
However, I am not sure that case weights is what you are seeking.
Göran
> Thanks,
> Francesca
>
--
Göran Broström
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