On Nov 23, 2009, at 12:50 PM, David Winsemius wrote:
On Nov 20, 2009, at 1:27 PM, David Winsemius wrote:
On Nov 20, 2009, at 11:07 AM, RWilliam wrote:
In reply to suggestion by David W., setting an offset parameter
doesn't seem
to work as R is not recognizing the "X2" part of coxph(
S
On Nov 20, 2009, at 1:27 PM, David Winsemius wrote:
On Nov 20, 2009, at 11:07 AM, RWilliam wrote:
In reply to suggestion by David W., setting an offset parameter
doesn't seem
to work as R is not recognizing the "X2" part of coxph(
Surv(Time,Censor)~X1, offset=log(4.3*X2), data= a ). Als
--- begin inclusion --
After I simulate Time and Censor data vectors denoting the censoring
time
and status respectively, I can call the following function to fit the
data
into the Cox model (a is a data.frame containing 4 columns X1, X2, Time
and
Censor):
b = coxph (Surv (Time, Censor) ~ X1 + X2,
On Nov 20, 2009, at 11:07 AM, RWilliam wrote:
In reply to suggestion by David W., setting an offset parameter
doesn't seem
to work as R is not recognizing the "X2" part of coxph(
Surv(Time,Censor)~X1, offset=log(4.3*X2), data= a ). Also, here's some
sample data:
The problem, arising as
In reply to suggestion by David W., setting an offset parameter doesn't seem
to work as R is not recognizing the "X2" part of coxph(
Surv(Time,Censor)~X1, offset=log(4.3*X2), data= a ). Also, here's some
sample data:
X1 X2 TimeCensor
1 1 0.40619454 77.00666
On Nov 20, 2009, at 9:57 AM, David Winsemius wrote:
On Nov 20, 2009, at 9:46 AM, RWilliam wrote:
Sorry for being impatient but is there really no way of doing this
at all?
It's quite urgent so any help is very much appreciated. Thank you.
The general method with glm's to specify a mod
On Nov 20, 2009, at 9:46 AM, RWilliam wrote:
Sorry for being impatient but is there really no way of doing this
at all?
It's quite urgent so any help is very much appreciated. Thank you.
The general method with glm's to specify a model with fixed
coefficients is to use an offset. I bel
Sorry for being impatient but is there really no way of doing this at all?
It's quite urgent so any help is very much appreciated. Thank you.
RWilliam wrote:
>
> Hello,
>
> I just started using R to do epidemiologic simulation research using the
> Cox proportional hazard model. I have 2 covar
Hello,
I just started using R to do epidemiologic simulation research using the Cox
proportional hazard model. I have 2 covariates X1 and X2 which I want to
model as h(t,X)=h0(t)*exp(b1*X1+b2*X2). I assume independence of X from t.
After I simulate Time and Censor data vectors denoting the cens
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