bi2rlv2: Sample sizes for the exact Fisher type test for relevant...

In EQUIVNONINF: Testing for Equivalence and Noninferiority

Description

The function computes minimum sample sizes required in the randomized UMPU test for relevant differences between two binomial distributions with respect to the odds ratio. Computation is done under the side condition that the ratio m/n has some predefined value λ.

Usage

bi2rlv2(rho1,rho2,alpha,p1,p2,beta,qlambd)

Arguments

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
beta	target value of power
qlambd	sample size ratio m/n

Value

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
beta	target value of power
qlambd	sample size ratio m/n
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 <[e-mail]>
Peter Ziegler <[e-mail]>

References

Wellek S: Testing statistical hypotheses of equivalence and noninferiority. Second edition. Boca Raton: Chapman & Hall/CRC Press, 2010, Par. 11.3.3.

Examples

                                     
bi2rlv2(.6667,1.5,.05,.70,.50,.50,2.0)  

EQUIVNONINF documentation built on July 12, 2021, 5:08 p.m.