I'll add just a little to what David said.
The normal meaning of a "time dependent covariate" is a covariate that
changes with time. For instance in a model that included x="most recent
available blood pressure" the value of x will change at each patient
visit. You obviously can't get those new
On Dec 26, 2011, at 3:02 AM, JiangGZ wrote:
Hi all,
I am trying to detect association between a covariate and a disease
outcome using R. This covariate shows time-varying effect, I add a
time-covariate interaction item to build Cox model as follows:
COX <- coxph(as.formula("Surv(TIME,out
Hi all,
I am trying to detect association between a covariate and a disease outcome
using R. This covariate shows time-varying effect, I add a time-covariate
interaction item to build Cox model as follows:
COX <-
coxph(as.formula("Surv(TIME,outcome)~eGFR_BASE+eGFR_BASE:TIME"),ori.data);
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