Another approach is to use the rms package:
require(rms)
f <- cph(Surv(...) ~ x1 + x2 + ...)
contrast(f, list(x1=1, x2=0), list(x1=0, x2=1))
Frank
djmuseR wrote:
>
> Hi:
>
> Another possible approach (untested) would be to compare the two models
>
> m1 <- coxph(Surv(Start, End, Death.ID) ~ x
Hi:
Another possible approach (untested) would be to compare the two models
m1 <- coxph(Surv(Start, End, Death.ID) ~ x1 + x2 + a1 + a2 + a3)
m0 <- coxph(Surv(Start, End, Death.ID) ~ I(x1 + x2) + a1 + a2 + a3)
anova(m0, m1)
This should be able to test H_0: beta_1 = beta_2. If you want to test tha
- Original Message -
From: "Michael Haenlein"
To:
Sent: Tuesday, April 12, 2011 11:19 AM
Subject: [R] Testing equality of coefficients in coxph model
Dear all,
I'm running a coxph model of the form:
coxph(Surv(Start, End, Death.ID) ~ x1 + x2 + a1 + a2 + a3)
Within this mo
Dear all,
I'm running a coxph model of the form:
coxph(Surv(Start, End, Death.ID) ~ x1 + x2 + a1 + a2 + a3)
Within this model, I would like to compare the influence of x1 and x2 on the
hazard rate.
Specifically I am interested in testing whether the estimated coefficient
for x1 is equal (or not)
4 matches
Mail list logo