[R] Re : left truncated data survival analysis package

Sir, This kind of analysis is new to me, s oI m sorry if I m asking stupid questions below... In my study, patients might have been sick for years before the diagnosis is made, then they can die few months later, once diagnosed, either from their disease or because they are elderly

[R] left truncated data survival analysis package

Hello, I d like to run a survival analysis with left truncated data. Could you recommend me a package to do this please ? Thanks Philippe Guardiola Reçevez AOL Mail sur votre téléphone. Vos e-mails accessibles à tout

[R] Re : Help on competing risk package cmprsk with time dependent covariate

Hello again, I m trying to use timereg package as suggested (R2.7.1 on XP Pro). here is my script based on the example from timereg for a fine gray model in which relt = time to event, rels = status 0/1/2 2=competing, 1=event of interest, 0=censored random = covariate I want to test  

[R] cmprsk and a time dependent covariate in the model

Dear R users, I d like to assess the effect of treatment covariate on a disease relapse risk with the package cmprsk. However, the effect of this covariate on survival is time-dependent (assessed with cox.zph): no significant effect during the first year of follow-up, then after 1 year

[R] predicted survival curves from a Cox time dep model

Dear R users, is there a way to plot predicted curves from a Cox model with a time dependent covariates using predict, in which other significant covariates are included with specific values ? I use cluster(id) in this time-dep. Cox model for rows belonging to the same patient, and this

[R] competing risk model with time dependent covariates

Dear R users, is there a way, I mean a package, to perform a competing risk model which can handle time dependent covariates ? my main covariate (additional treatment to patients) appears not to follow the proportional hazards assumption, its effect being observed after one year of

[R] question about cmprsk library

Dear R users, is there a way to perform a competing risk model which can handle time dependent covariates ? my main covariate (additional treatment to patients) violates the proportional hazards assumption, its effect being observed after one year of treatment but not before (this

[R] from XPPro to Linux what distribution to use for R ?

Dear R users I m planning to move to Linux to use R (currently under Win XPPro on a 32bit PC with 4 Go RAM), I have 2 questions: - is there a recommended version/distribution of Linux to run?R and Bioconductor packages: Fedora ? Ubuntu ? Suse ? Debian ? - Regarding Fedora, I see that now it is