# basehaz

##### Alias for the survfit function

Compute the predicted survival curve for a Cox model.

- Keywords
- survival

##### 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.

##### Details

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.
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 calculations.

##### Value

a data frame with variable names of `hazard`

, `time`

and
optionally `strata`

. The first is actually the cumulative hazard.

##### See Also

*Documentation reproduced from package survival, version 3.1-8, License: LGPL (>= 2)*