On Mon, Jul 9, 2012 at 3:59 PM, Terry Therneau wrote:
> Without more information, we can only guess what you did, or what you are
> seeing on the page that is "different".
>
> I'll make a random guess though. There are about 5 ways to paramaterize
> the Weibull distribution. The standard packag
Be sure you reply or forward your message to me to the r-help listhost. I
might not have time to review it tonight, while others might.
Jeremy
On Mon, Jul 9, 2012 at 2:38 PM, JPF [via R] <
ml-node+s789695n4635888...@n4.nabble.com> wrote:
> Please, find an example with a data set here.
>
> The d
UCLA's Advanced Technical Services' Statistical Computing website often has
very good resources for comparing analyses between R, Stata, and SAS (
http://www.ats.ucla.edu/stat ). For accelerated failure time models, I
believe that it has some examples for Stata (
http://www.ats.ucla.edu/stat/stata/
On 7/9/2012 9:17 AM, Javier Palacios Fenech wrote:
Please.
After, Terry's response I guess I was expecting to hear how your
comparison between R and STATA went when you used the R function,
survreg() for your analysis.
We still don't know what your data look like. The posting guide asks
for
Please.
find an example here. With exactly the same data set, I run two hazard
models following the instructions for each function.
aftreg(formula = Surv(sta, sto, S) ~ a + b + c + d + e + f + g
, factor(F), data = data.frame(SURV),
dist = "weibull", id = ID)
streg f1 f2 f3 f4 f5 a b c d
Without more information, we can only guess what you did, or what you
are seeing on the page that is "different".
I'll make a random guess though. There are about 5 ways to paramaterize
the Weibull distribution. The standard packages that I know, however,
tend to use the one found in the Kal
Hi J,
You have not provided nearly enough information for us to evaluate
whether the results should be similar. You are talking about two
completely different packages, with no information on your data, only
a small amount of information about your model ("the same analysis")
but clearly the anal
Dear Community,
I have been using two types of survival programs to analyse a data set.
The first one is an R function called aftreg. The second one an STATA
function called streg.
Both of them include the same analyisis with a weibull distribution. Yet,
results are very different.
Shouldn't t
8 matches
Mail list logo