On Wed, Aug 1, 2012 at 3:08 PM, <fra.meu...@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 âweightsâ 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 [[alternative HTML version deleted]]
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