Description Usage Arguments Value Author(s) References Examples
The function computes the exact sample sizes required in the randomized UMPU test and its conservative nonrandomized version for attaining prespecified power. In a final step, the mean of both quantities is output as an nearly exact value required in the Fisher-Boschloo test, a powerful nonrandomized version of the exact Fisher-type test.
1 | fisher_boschloo_midN(alpha, SW, p1, p2, POWO, mton_a, mton_b)
|
alpha |
target significance level |
SW |
step width for increasing p2 in the search for the size of a given critical region in the sample space of (X,Y) |
p1 |
true value of the responder rate for Population 1 |
p2 |
true value of the responder rate for Population 2 |
POWO |
power to be obtained against the alternative (p1,p2) |
mton_a |
desired ratio of sample sizes: numerator |
mton_b |
desired ratio of sample sizes: denominator |
mstart |
initial value of 1st sample size |
nstart |
initial value of 2nd sample size |
Mex |
size of Sample 1 for randomized UMPU test |
Nex |
size of Sample 2 for randomized UMPU test |
POWEX |
power of randomized UMPU test attained with m=Mex,n=Nex |
Mnr |
size of Sample 1 for conservative nonrandomized Fisher-type test |
Nnr |
size of Sample 2 for conservative nonrandomized Fisher-type test |
POWNR |
power of conservative nonrandomized Fisher-type test attained with m=Mnr,n=Nnr |
midN_m |
nearly exact size of Sample 1 for Boschloo-Fisher test |
midN_n |
nearly exact size of Sample 1 for Boschloo-Fisher test |
Stefan Wellek <stefan.wellek@zi-mannheim.de>
Peter Ziegler <peter.ziegler@zi-mannheim.de>
Wellek S: Nearly exact sample size calculation for powerful nonrandomized tests for differences between binomial proportions. Statistica Neerlandica 69 (2015), 358-373.
1 2 3 4 | result1 <- fisher_boschloo_midN(0.025,0.0001,0.95,0.8,0.8,2,1)
POWEX <- result1[5]
result1 # shows values of vector result1
POWEX # shows value of POWEX
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