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Similar simulations using the statistic z for small meta-analysis (k=25) were also carried out.
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The statistic "z" used in this test was calculated with the following formula: z = p ^ − p p ^ q ^ n p ^ = 0, 5 p = 1 ‒ p ^ = 0, 5. We tested two hypotheses, taking into consideration that the number and the position of chiasmata occurs randomly (i.e. p = 0.5), as is expected in the meiotic process.
Statistical significance of any difference between numbers needed to treat for different drugs was assumed if there was no overlap of the confidence intervals, and additionally tested using the z statistic [ 16].
Statistical significance of any difference between numbers needed to treat for different doses or between men and women was assumed if there was no overlap of the confidence intervals, and additionally tested using the z statistic [ 20].Calculations were performed using Microsoft Excel 98 on a Power Macintosh G4.
To detect regions with abnormal morphology, statistical comparisons using the z-statistic and cluster-based thresholding to control for multiple comparisons and spurious false positives were performed between patients and normal controls on a vertex-by-vertex basis [33].
In contrast, even after a conservative multiple test correction that makes the cutoff for statistical significance much more stringent, many spots are found significant using the Z-statistic.
Overall effect was tested using the Z-statistic.
The equality of the risk ratios between subgroups was assessed using the z-statistic test.
The treatments effects in both of the scoring methodologies were assessed using the z-statistic with a Bonferroni correction for multiple comparisons.
The two AUCs were compared using the z-statistic for comparing AUCs derived from the same cases as described by Hanley and McNeil [ 12].
Table 1 and Table 2 summarize the top 5 gene sets obtained by using the Z-statistic method and SNP-PRAGE, respectively.
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