# bi2wld_ni_del: Function to compute corrected nominal levels for the Wald... In EQUIVNONINF: Testing for Equivalence and Noninferiority

## Description

Implementation of the construction described on pp. 183-5 of Wellek S (2010) Testing statistical hypotheses of equivalence and noninferiority. Second edition.

## Usage

 1 bi2wld_ni_del(N1,N2,EPS,SW,ALPHA,MAXH) 

## Arguments

 N1 size of Sample 1 N2 size of Sample 2 EPS noninferiority margin to the difference of success probabilities SW width of the search grid for determining the maximum of the rejection probability on the common boundary of the hypotheses ALPHA target significance level MAXH maximum number of interval-halving steps

## Details

The program computes the largest nominal significance level to be used for determining the critical lower bound to the Wald-type statistic for the problem of testing H:p_1 ≤ p_2 - \varepsilon versus K: p_1 < p_2 - \varepsilon.

## Value

 N1 size of Sample 1 N2 size of Sample 2 EPS noninferiority margin to the difference of success probabilities SW width of the search grid for determining the maximum of the rejection probability on the common boundary of the hypotheses ALPHA target significance level MAXH maximum number of interval-halving steps ALPHA0 corrected nominal level SIZE0 size of the critical region of the test at nominal level ALPHA0 SIZE_UNC size of the test at uncorrected nominal level ALPHA ERR_IND indicator taking value 1 when it occurs that the sufficient condition allowing one to restrict the search for the maximum of the rejection probability under the null hypothesis to its boundary, fails to be satisfied; otherwise the indicator retains its default value 0.

## 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. 6.6.3.

## Examples

 1 bi2wld_ni_del(25,25,.10,.01,.05,10) 

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