msboot.relsurv: Bootstrap function for upgraded multi-state models using...
In mstate: Data Preparation, Estimation and Prediction in Multi-State Models

Description Usage Arguments Value Author(s) See Also

A helper nonparametric bootstrapping function for variances in extended multi-state models using relative survival. This implementation is written based on function mstate:::msboot.

msboot.relsurv(
  theta,
  data,
  B = 10,
  id = "id",
  verbose = 0,
  transmat,
  all_times,
  split.transitions,
  rmap,
  time.format,
  boot_orig_msfit,
  ratetable = relsurv::slopop,
  add.times,
  ...
)

`theta`	A function of data and perhaps other arguments, returning the value of the statistic to be bootstrapped
`data`	An object of class 'msdata', such as output from msprep
`B`	The number of bootstrap replications; the default is B=10
`id`	Character string indicating which column identifies the subjects to be resampled
`verbose`	The level of output; default 0 = no output, 1 = print the replication
`transmat`	The transition matrix of class transMat
`all_times`	All times at which the hazards have to be evaluated
`split.transitions`	An integer vector containing the numbered transitions that should be split. Use same numbering as in the given transition matrix
`rmap`	An optional list to be used if the variables in the dataset are not organized (and named) in the same way as in the ratetable object
`time.format`	Define the time format which is used in the dataset Possible options: c('days', 'years', 'months'). Default is 'days'
`boot_orig_msfit`	Logical, if true, do the bootstrap for the basic msfit model
`ratetable`	The population mortality table. A table of event rates, organized as a ratetable object, see for example relsurv::slopop. Default is slopop
`add.times`	Additional times at which hazards should be evaluated
`...`	Any further arguments to the function theta