Farrington Manning test
This class implements a Farrington-Manning test for non-inferiority
trials. A trial with binary outcomes in two groups T and
C is assumed.
The function setupFarringtonManning creates an object of
FarringtonManning.
setupFarringtonManning(alpha, beta, r = 1, delta, delta_NI, n_max = Inf, ...)
alpha |
One-sided type I error rate. |
beta |
Type II error rate. |
r |
Allocation ratio between experimental and control group. |
delta |
Difference of effect size between alternative and null hypothesis. |
delta_NI |
Non-inferiority margin. |
n_max |
Maximal overall sample size. If the recalculated sample size
is greater than |
... |
Further optional arguments. |
The following methods are available for this class:
toer, pow, n_dist,
adjusted_alpha, and n_fix.
Check the design specific documentation for details.
An object of class FarringtonManning.
design <- setupFarringtonManning(alpha = .025, beta = .2, r = 1, delta = 0, delta_NI = .15)
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