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.

Usage

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

Value

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

See also

msboot

Author

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