Description Usage Arguments Details Author(s) See Also

This function uses bootstrapping to create standard errors and
confidence intervals for the quantities produced by the coxed()
function. It is adapted from the `bootcov`

function
in the `rms`

package. It is called by the `coxed`

function and is not intended to be used by itself. Please refer to
the original `bootcov`

function for general bootstrapping
applications.

1 2 3 |

`fit` |
an estimated Cox proportional hazards model object with class "coxph" or "cph" |

`cluster` |
a variable indicating groupings. |

`B` |
Number of bootstrap simulation iterations |

`fitter` |
the name of a function with arguments |

`coef.reps` |
set to |

`loglik` |
set to |

`pr` |
set to |

`maxit` |
maximum number of iterations, to pass to |

`group` |
a grouping variable used to stratify the sample upon bootstrapping. This
allows one to handle |

`stat` |
a single character string specifying the name of a |

This function contains the same code as the `bootcov`

function in
the `rms`

package, with a few alterations to work better with the `coxed`

function. First, we output a result attribute `b.ind`

, which contains the observation numbers from the estimation sample
that are drawn with replacement to produce the bootstrap sample and takes into account clustering.
Second, we program a new class, `tvc`

, for
`fitter`

to use `agreg.fit`

instead of `coxph.fit`

when the data contain time-varying covariates.

Jonathan Kropko <jkropko@virginia.edu> and Jeffrey J. Harden <jharden@nd.edu>, based
on the code for the `bootcov`

function in the `rms`

package
by Frank Harrell and Bill Pikounis

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