Thanks to David for pointing this out. The "time dependent covariates" vignette in the
survival package has a section on time dependent coefficients that talks directly about
this issue. In short, the following model is simply wrong:
coxph(Surv(time, status) ~ trt + prior + karno + I(karn
On 2016-03-30 23:06, David Winsemius wrote:
On Mar 29, 2016, at 1:47 PM, Jennifer Wu, Miss
wrote:
Hi,
I am currently using R v3.2.3 and on Windows 10 OS 64Bit.
I am having convergence issues when I use coxph with a interaction
term (glarg*bca_py) and interaction term with the restricted c
> On Mar 29, 2016, at 1:47 PM, Jennifer Wu, Miss
> wrote:
>
> Hi,
>
> I am currently using R v3.2.3 and on Windows 10 OS 64Bit.
>
> I am having convergence issues when I use coxph with a interaction term
> (glarg*bca_py) and interaction term with the restricted cubic spline
> (glarg*bca_tim
Hi Jennifer,
see below.
On 2016-03-29 22:47, Jennifer Wu, Miss wrote:
Hi,
I am currently using R v3.2.3 and on Windows 10 OS 64Bit.
I am having convergence issues when I use coxph with a interaction
term (glarg*bca_py) and interaction term with the restricted cubic
spline (glarg*bca_time_ns).
Hi,
I am currently using R v3.2.3 and on Windows 10 OS 64Bit.
I am having convergence issues when I use coxph with a interaction term
(glarg*bca_py) and interaction term with the restricted cubic spline
(glarg*bca_time_ns). I use survival and spline package to create the Cox model
and cubic sp
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