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survival (version 2.38-3)

basehaz: Alias for the survfit function

Description

Compute the predicted survival curve for a Cox model.

Usage

basehaz(fit, centered=TRUE)

Arguments

fit
a coxph fit
centered
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.

Value

  • a data frame with variable names of hazard, time and optionally strata. The first is actually the cumulative hazard.

Details

This function is simply an alias for survfit, which is the actual function that does all the computations. See the manual page for that function for the preferred use. This function survives only for backwards support of prior usage.

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. If there are factor variables in the model, then the default predictions at the "mean" are meaningless since they do not correspond to any possible subject; correct results require use of the newdata argument of survfit. Results for all covariates =0 are normally only of use as a building block for further calcuations.

See Also

survfit.coxph