Fits a semi-parametric Cox proportional-hazards regression of
time-to-event on covariates via survival::coxph().
Arguments
- formula
Model formula specifying the regression model, e.g.
Surv(time, event) ~ exposure.- data
Data set containing the variables of interest.
- ...
Other arguments passed to
survival::coxph().
Value
A coxph object with with additional ertte_coxph and ertte_model
classes used to supply additional methods.
Details
Because the return value is a coxph object, all the usual
methods for survival regression models work unchanged, without neeing an
ertte-specific equivalent. This includes summary(), coef(), vcov(),
confint(), predict(), AIC(), BIC(), logLik(), and anova().
Additional methods supplied via the ertte-specific classes include
ertte_predict(), ertte_fun(), and simulate().
Examples
mod <- ertte_coxph(Surv(time, event) ~ aucss, ertte_data)
mod
#> Call:
#> survival::coxph(formula = formula, data = data, model = TRUE)
#>
#> coef exp(coef) se(coef) z p
#> aucss 8.859e-04 1.001e+00 7.515e-05 11.79 <2e-16
#>
#> Likelihood ratio test=110.2 on 1 df, p=< 2.2e-16
#> n= 300, number of events= 232