msboot.relsurv | R Documentation |
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 |
A list of size B containing the results for every bootstrap replication.
Damjan Manevski damjan.manevski@mf.uni-lj.si, Marta Fiocco, Hein Putter H.Putter@lumc.nl
msboot
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