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After their performance during three-term sequence training had become completely stable, the birds were tested using the "random test".
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A Class Comparison analysis, based on a Two-sample T-test using the random variance model, yielded 1046 probesets differentially expressed between Ing2+/+ and Ing2−/− testes (P<0.001, FDR<0.04).
After normalization and preprocessing, differentially expressed genes were identified using the random variance model based t-test.
Univariate analyses were performed comparing each utilised cell line and cell line derivative using a two-sample t-test using the random variance model.
Using the random effects Poisson regression likelihood ratio test, there was evidence, of clustering of episodes of clinical malaria within households (p = 0.03).
13 If the heterogeneity was found to be significant, we pooled the measures of test accuracy using the random effects model.
Therefore, changes over time and differences between subgroups will be tested by using the Random Intercept Model.
Consequently, we obtained results with more power and less variation by using the random variance model corrected standard t-test or ANOVA methodology [ 8].
All of the above tests are done using the random neighborhood function.
Instead, we performed the health test off-line on a PC using the random numbers acquired by the evaluation system in Section 5.1 because the TRNGs would not be suitable for practical use if the random numbers fail the health test.
After their performance on three-term sequence training with five examples had become stable, the birds were retested using the same "random test" described above.
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