Compute the predicted survival curve for a Cox model.
basehaz(fit, newdata, centered=TRUE)a data frame with variable names of hazard, time and
optionally strata. The first is actually the cumulative hazard.
a coxph fit
a data frame containing one row for each predicted survival curve, said row contains the covariate values for that curve
ignored if the newdata argument is present.
Otherwise, if TRUE return data from a predicted survival curve
for the covariate values 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 can be a
very bad idea in practice.
survfit.coxph