2010/2/18 Philipp Rappold :
> Göran, David,
>
> in order to adapt aftreg to my needs I wrote a little function that I would
> like to share with you and the community.
I once promised to fix this 'asap'. Now I promise to do it tonight. OK?
Göran
>
>
> WHAT DOES IT FIX?
>
> (1) Using the id-argum
Göran, no worries - your help & advice is already invaluable!
Göran Broström wrote:
2010/2/18 Philipp Rappold :
Göran, David,
in order to adapt aftreg to my needs I wrote a little function that I would
like to share with you and the community.
I once promised to fix this 'asap'. Now I promis
Göran, David,
in order to adapt aftreg to my needs I wrote a little function that
I would like to share with you and the community.
WHAT DOES IT FIX?
(1) Using the id-argument in combination with missing values on
covariates wasn't easily possible before because the id-dataframe
and the da
On Feb 11, 2010, at 5:58 AM, Philipp Rappold wrote:
Göran, thanks!
One more thing that I found: As soon as you have at least one NA in
the independent vars, the trick that you mentioned does not work
anymore. Example:
> testdata
start stop censor groupvar var1
1 01 0
Göran, thanks!
One more thing that I found: As soon as you have at least one NA in
the independent vars, the trick that you mentioned does not work
anymore. Example:
> testdata
start stop censor groupvar var1
1 01 01 0.1284928
2 12 01 0.4896125
On Fri, Feb 5, 2010 at 11:30 AM, 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
Dimitris,
thanks for the hint, I'll definitely give it a shot later.
But for now it would be great to understand the aftreg arguments
first :)
All the best
Philipp
Dimitris Rizopoulos wrote:
In case this time-dependent covariate is an internal time-dependent
covariate (aka endogenous time-d
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
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 pr
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