surv.fi: Calculate a fragility index for survival data with...

In brb225/FragilityTools: Toolbox For Patient Count Fragility Measures

Description

This is a function which is a wrapper around internal functions which calculate the fragility index for different data types and test specifications. It is used for survival data. The function uses a log rank test by default.

Usage

surv.fi(
  time,
  status,
  group,
  test = "logrank",
  q = 0.5,
  cl = NULL,
  alpha = 0.05,
  tau = NULL,
  verbose = FALSE,
  max.time = Inf
)

Arguments

time	the time of either an event or right censoring
status	a 0,1 variable, with 1 if event and 0 if right-censored
group	a factor with levels representing group membership
test	a string specifying the test type, default is 'logrank' but could also use 'rmst.diff' for a restricted mean survival test.
q	the per-patient probability of permitted modifications, bigger values further constrain the permitted modificiations.
cl	a cluster from the parallel package, used to compute fragility index over each modified observation at each stage of the greedy algorithm
alpha	a number for the size of test
tau	an optional parameter for the rmst difference test, by default NULL
verbose	a logical value for whether to print status updates while running
max.time	a numeric for when the study ended and no more events can be observed, by default Inf

Value

the output of greedy.fi for the time to event test

Examples

dat <- get.survival.data(100, 6)
cl <- parallel::makeCluster(parallel::detectCores() - 2)
out <- surv.fi(dat$time, dat$status, dat$group, q=0.3, cl = cl, verbose=TRUE)
parallel::stopCluster(cl)

brb225/FragilityTools documentation built on Jan. 21, 2022, 1:26 a.m.