| 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)