pow.Student: Power

In blindrecalc: Blinded Sample Size Recalculation

Power

Description

Calculates the power 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'
pow(
  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 recalculated after n1 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 power 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)
pow(d, n1 = 20, nuisance = 5.5, recalculation = TRUE)

blindrecalc documentation built on Oct. 4, 2023, 5:06 p.m.