In case of a linear regression, if we are to account for interaction between two regressors x1 and x2, we write a model like
lm(y ~ x1 + x2 + x1:x2, data=records)
Do we use a similar method/notation even in cox regression like
coxph(Surv(y,censor) ~ x1 + x2 + x1:x2, data=records) ?
In other words, how does cox-regression deal with interaction/dependence among covariates?