[R] AFTREG with ID argument

[Dimitris Rizopoulos]

In case this time-dependent covariate is an internal time-dependent 
covariate (aka endogenous time-dependent covariate), you can use the 
jointModel() function from package JM, with the option "weibull-AFT-GH" 
for the 'method' argument.

For more information you may have a look at: 
http://rwiki.sciviews.org/doku.php?id=packages:cran:jm


I hope it helps.

Best,
Dimitris


Philipp Rappold wrote:
> Dear all,
> 
> I have some trouble using the "id"-argument with aftreg (accelerated 
> failure time regression analysis from the eha library).
> 
> As far as I understand it, the id argument is used to group individuals 
> together if there are time-varying covariates and the data is arranged 
> in counting process style.
> 
> Unfortunately, i cannot figure out how to use the "id"-argument. The 
> most straight-forward way would be to simply state the grouping 
> variable, but it throws an error. I've included an example below: the 
> dataframe for regression is called "test", with the grouping variable 
> "person".
> 
>  > test
>   start end censor person var1
> 1     0   1      0      1  0.5
> 2     1   2      0      1  0.4
> 3     2   3      0      1  0.6
> 4     3   4      1      1 -0.3
> 5     0   1      0      2  0.6
> 6     1   2      0      2  0.7
> 7     2   3      0      2  0.6
> 
>  > fit <- aftreg(Surv(start, end, censor)~var1, data=test, id=person)
> Error in order(id, Y[, 1]) : argument 1 is not a vector
> 
>  > fit <- aftreg(Surv(start, end, censor)~var1, data=test, 
> id=test["person"])
> Error in `[.data.frame`(id, ord) : undefined columns selected
> 
> 
> 
> What would be the correct way to fit this example model?
> 
> Thanks + all the best
> Philipp
> 
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-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

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