toer {blindrecalc} | R Documentation |
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.
toer(design, n1, nuisance, recalculation, ...)
design |
object of class |
n1 |
total number of patients that are recruited before the sample size is recalculated |
nuisance |
nuisance parameter that is estimated at the interim analysis |
recalculation |
Should the sample size be recalculated after n1 n1 patients are recruited? |
... |
Further optional arguments. |
The method is only vectorized in either nuisance
or n1
.
The method is implemented for the classes Student
,
ChiSquare
, and FarringtonManning
.
One type I error rate value for every nuisance parameter and every value of n1.
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)