Compute the predicted survival curve for a Cox model.
basehaz(fit, centered=TRUE)a data frame with variable names of hazard, time and
optionally strata. The first is actually the cumulative hazard.
a coxph fit
if TRUE return data from a predicted survival curve at
the mean values of the covariates fit$mean, if FALSE return a
prediction for all covariates equal to zero.
This function is simply an alias for survfit, which does the
actual work and has a richer set of options.
The alias exists only because some users look for predicted survival
estimates under this name.
The function returns a data frame containing the time,
cumhaz and optionally the strata (if the fitted Cox model used
a strata statement), which are copied the survfit result.
Results for all covariates =0 are a standard form found in textbooks,
however, due to possible overflow in the exp() function this is, in
practice, a very bad idea in practice.
survfit.coxph