bi2ste2 {EQUIVNONINF} | R Documentation |
Sample sizes for the exact Fisher type test for noninferiority
Description
Sample sizes for the exact Fisher type test for noninferiority
Usage
bi2ste2(eps, alpha, p1, p2, bet, qlambd)
Arguments
eps |
noninferiority margin to the odds ratio |
alpha |
significance level |
p1 |
success rate in Population 1 |
p2 |
success rate in Population 2 |
bet |
target power value |
qlambd |
sample size ratio |
Details
The program computes the smallest sample sizes m
,n
satisfying
m/n = \lambda
required for ensuring that the power of the randomized UMPU test does not
fall below \beta
.
Value
eps |
noninferiority margin to the odds ratio |
alpha |
significance level |
p1 |
success rate in Population 1 |
p2 |
success rate in Population 2 |
bet |
target power value |
qlambd |
sample size ratio |
M |
minimum size of Sample 1 |
N |
minimum size of Sample 2 |
POW |
power of the randomized UMPU test attained with the computed values of m, n |
Author(s)
Stefan Wellek <stefan.wellek@zi-mannheim.de>
Peter Ziegler <peter.ziegler@zi-mannheim.de>
References
Wellek S: Testing statistical hypotheses of equivalence and noninferiority. Second edition. Boca Raton: Chapman & Hall/CRC Press, 2010, 6.6.1.
Examples
bi2ste2(0.5,0.05,0.9245,0.9065,0.80,1.00)