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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