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A given animal was considered trained if it performed significantly above 75% correct (i.e., at p<0.002 by binomial test) and the performance remained asymptotic (as determined by one-way ANOVA at p>0.05) for at least four consecutive blocks of 50 trials each.
Each list was statistically compared to NCBI: R. norvegicus genes reference list using the binomial test and the Bonferroni correction for multiple testing.
The statistical significance of the observed excess of the number of the detected non-synonymous substitution hotspots over the random expectation was assessed using the binomial test and the Bonferroni correction for multiple tests.
In terms of statistical testing, the test sizes represented on Figure 2 when Π = Π0 show that the naive binomial test and the test based on the conditional distribution are not adequate, these tests being too conservative in several settings.
Hudgens et al. [ 20] evaluated the t test, Wilcoxon rank sum test, exact binomial test and the Severini test (an extension of the binomial test) as they would be applied in the typical ELISPOT setting.
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He compared the traffic pattern of typical days and the traffic patterns of holidays with the help of the Chi-squared test combined with the binomial test and verified the statistical significance of the occurrence of traffic peak during the holidays.
The phenotypes of gender and smoking were analysed using the Binomial test and then the Bonferroni correction was performed.
We calculated confidence intervals associated with this value by using a binomial test and determined whether the proportion of cells with localized mRNA was statistically different from the reference population (5%).
Imbalance detection statistics using the binomial test and multiple thresholds or the beta-binomial test.
Amazingly, in spite of low total overlap for three datasets (grey zone, Figure 6B), all normal mouse populations designated as stem cell-like obtained a higher stemness score than differentiation score (P<0.002, binomial test), and four of the datasets scored at least two standard deviations above randomly simulated datasets (Figure 6B).
Over- or under-representation of the GO terms was statistically determined using the binomial test and p-values corrected for multiple testing using the Bonferroni method in the PANTHER system.
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