bi2by_ni_OR {EQUIVNONINF} | R Documentation |
Implementation of the construction described on pp. 179–181 of Wellek S (2010) Testing statistical hypotheses of equivalence and noninferiority. Second edition.
bi2by_ni_OR(N1,N2,EPS,SW,NSUB,ALPHA,MAXH)
N1 |
size of sample 1 |
N2 |
size of sample 2 |
EPS |
noninferiority margin to the deviation of the odds ratio from unity |
SW |
width of the search grid for determining the maximum of the rejection probability on the common boundary of the hypotheses |
NSUB |
number of subintervals for partitioning the range of integration |
ALPHA |
target significance level |
MAXH |
maximum number of interval halving steps to be carried out in finding the maximally admissible nominal level |
The program uses 96-point Gauss-Legendre quadrature on each of the NSUB intervals into which the range of integration is partitioned.
N1 |
size of sample 1 |
N2 |
size of sample 2 |
EPS |
noninferiority margin to the deviation of the odds ratio from unity |
NSUB |
number of subintervals for partitioning the range of integration |
SW |
width of the search grid for determining the maximum of the rejection probability on the common boundary of the hypotheses |
ALPHA0 |
result of the search for the largest admissible nominal level |
SIZE0 |
size of the critical region corresponding to alpha_0 |
SIZE_UNC |
size of the critical region of the test at uncorrected nominal level |
Stefan Wellek <stefan.wellek@zi-mannheim.de>
Peter Ziegler <peter.ziegler@zi-mannheim.de>
Wellek S: Statistical methods for the analysis of two-arm non-inferiority trials with binary outcomes. Biometrical Journal 47 (2005), 48–61.
Wellek S: Testing statistical hypotheses of equivalence and noninferiority. Second edition. Boca Raton: Chapman & Hall/CRC Press, 2010, Par. 6.6.2.
bi2by_ni_OR(10,10,1/3,.0005,10,.05,12)