Description Usage Arguments Value Examples

Bootstrap 95% Confidence Intervals limits for estimated Ratios of sHR/csHR.

1 2 3 4 5 6 7 8 9 10 11 12 |

`df` |
A data frame containing, at a minimum, exit, event, and exposure. |

`exit` |
Name of the column in df containing times of event or censoring. |

`event` |
Name of the column in df containing codes for censoring (0) and event types (1-4). Analysis of more than 4 competing events is not supported by this function. |

`exposure` |
Name of the column in df containing a binary (0/1) exposure variable for stratification. |

`entry` |
Name of the column in df containing late entry times. |

`weights` |
Name of the column in df containing user-supplied weights. If ipwvars is utilized, this argument is ignored. |

`ipwvars` |
A vector of names of columns in 'df' containing predictor variables for building a propensity score model for exposure and creating standardized inverse probability weights using this model. Overrides the weights argument. |

`rep` |
Number of replicates for bootstrapping if confidence intervals for the sHR/csHR estimate are desired. See more details on bootstrapping below. |

`print.attr` |
A logical indicator for whether results should be returned in console. |

`seed` |
A seed number start for the bootstrap estimation. |

A data frame with the 95% confidence interval limits (upper and lower) for Sub-hazard ratio/Cause-specific hazard ratio for each event:

- R1.lower
Lower limit of the 95%CI of the Sub-hazard ratio/Cause-specific hazard ratio for event 1 at time

`t`

- R1.upper
Upper limit of the 95%CI of the Sub-hazard ratio/Cause-specific hazard ratio for event 1 at time

`t`

- R2.lower
Lower limit of the 95%CI of the Sub-hazard ratio/Cause-specific hazard ratio for event 2 at time

`t`

- R2.upper
Upper limit of the 95%CI of the Sub-hazard ratio/Cause-specific hazard ratio for event 2 at time

`t`

1 2 3 4 | ```
#data from the package
data <- hrcomprisk::dat_ckid
#Obtain the 95%CI by bootstraping
ciCIF<-bootCRCumInc(df=data, exit=exit, event=event, exposure=b1nb0, rep=10, print.attr=TRUE)
``` |

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