blindrecalc: toer.Student – R documentation

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toer.Student

Type I Error Rate

Description

Computes the type I error rate of designs with blinded sample size recalculation or of fixed designs for one or several values of the nuisance parameter.

Usage

## S4 method for signature 'Student'
toer(
  design,
  n1,
  nuisance,
  recalculation = TRUE,
  iters = 10000,
  seed = NULL,
  allocation = c("approximate", "exact"),
  ...
)

Arguments

`design`	Object of class `Student` created by `setupStudent`.
`n1`	Either the sample size of the first stage (if `recalculation = TRUE` or the toal sample size (if `recalculation = FALSE`).
`nuisance`	Value of the nuisance parameter. For the Student's t-test this is the variance.
`recalculation`	Should the sample size be recalcuated after n1 patients are recruited?
`iters`	Number of simulation iterations.
`seed`	Random seed for simulation.
`allocation`	Whether the allocation ratio should be preserved exactly (`exact`) or approximately (`approximate`).
`...`	Further optional arguments.

Details

The method is only vectorized in either nuisance or n1.

Value

One type I error rate value for every nuisance parameter and every value of n1.

Examples

d <- setupStudent(alpha = .025, beta = .2, r = 1, delta = 3.5, delta_NI = 0,
                  alternative = "greater", n_max = 156)
toer(d, n1 = 20, nuisance = 5.5, recalculation = TRUE)

blindrecalc

Blinded Sample Size Recalculation

v0.1.2

MIT + file LICENSE

Authors

Lukas Baumann [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry and Informatics - University of Heidelberg [cph]

Initial release