msboot.relsurv function

Bootstrap function for upgraded multi-state models using relsurv

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,
  ...
)

Arguments

• 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

Returns

A list of size B containing the results for every bootstrap replication.

See Also

msboot

Author(s)

Damjan Manevski damjan.manevski@mf.uni-lj.si , Marta Fiocco, Hein Putter H.Putter@lumc.nl