MyBarnard
There are two fundamentally different exact tests for comparing the equality of two binomial probabilities – Fisher’s exact test (Fisher, 1925), and Barnard’s exact test (Barnard, 1945). Fisher’s exact test (Fisher, 1925) is the more popular of the two. In fact, Fisher was bitterly critical of Barnard’s proposal for esoteric reasons that we will not go into here. For 2 × 2 tables, Barnard’s test is more powerful than Fisher’s, as Barnard noted in his 1945 paper, much to Fisher’s chagrin (see C.R. Mehta and P. Senchaudhuri: Conditional versus unconditional exact tests for comparing two binomials. www.cytel.com/papers/twobinomials.pdf). Anyway, perhaps due to its computational difficulty the Barnard's is not widely used. This function is completely vectorized and without for...end loops, and so, the computation is very fast. In FEX there is only one other function that computes the Barnard's exact test by Antonio Trujillo-Ortiz.
Using this matrix x=[7 12; 8 3]; switching off the input error checks and display results sections in both functions; the performs are:
L=1000; times=zeros(1,L); for I=1:L, tic; mybarnard(x); times(I)=toc; end, median(times)
ans = 0.0028
L=1000; times=zeros(1,L); for I=1:L, tic; Barnardextest(7,12,8,3); times(I)=toc; end, median(times)
ans = 1.2478
So my function is about 450 times faster.
Cita come
Giuseppe Cardillo (2024). MyBarnard (https://github.com/dnafinder/barnard), GitHub. Recuperato .
Compatibilità della release di MATLAB
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Tag
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Ispirato da: Barnardextest
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Crea script con codice, output e testo formattato in un unico documento eseguibile.
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
Versione | Pubblicato | Note della release | |
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2.0.0.1 | change in description |
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2.0.0.0 | inputparser; github link |
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1.4.0.0 | I added: 1) the plots of Wald statistics; 2) a flag to choose if the plots must be shown |
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1.3.0.0 | Changes in description |
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1.2.0.0 | Change in description |
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1.1.0.0 | change in help section to correctly cite this function |
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1.0.0.0 |