bi2rlv1: Power of the exact Fisher type test for relevant differences

Description Usage Arguments Value Author(s) References Examples

View source: R/bi2rlv1.R

Description

The function computes exact values of the power of the randomized UMPU test for relevant differences between 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

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bi2rlv1(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 <[email protected]>
Peter Ziegler <[email protected]>

References

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

Examples

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bi2rlv1(200,300,.6667,1.5,.05,.25,.10)
  

EQUIVNONINF documentation built on Sept. 19, 2017, 5:06 p.m.