| bi2aeq1 {EQUIVNONINF} | R Documentation |
Power of the exact Fisher type test for equivalence
Description
The function computes exact values of the power of the randomized UMPU test for equivalence in the strict (i.e. two-sided) sense of two binomial distributions and the conservative nonrandomized version of that test. It is assumed that the samples being available from both distributions are independent.
Usage
bi2aeq1(m,n,rho1,rho2,alpha,p1,p2)
Arguments
m |
size of Sample 1 |
n |
size of Sample 2 |
rho1 |
lower limit of the hypothetical equivalence range for the odds ratio |
rho2 |
upper limit of the hypothetical equivalence range for the odds ratio |
alpha |
significance level |
p1 |
true success rate in Population 1 |
p2 |
true success rate in Population 2 |
Value
m |
size of Sample 1 |
n |
size of Sample 2 |
rho1 |
lower limit of the hypothetical equivalence range for the odds ratio |
rho2 |
upper limit of the hypothetical equivalence range for the odds ratio |
alpha |
significance level |
p1 |
true success rate in Population 1 |
p2 |
true success rate in Population 2 |
POWNR |
Power of the nonrandomized version of the test |
POW |
Power of the randomized UMPU test |
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, \S 6.6.4.
Examples
bi2aeq1(302,302,0.6667,1.5,0.05,0.5,0.5)