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The coexistence of prokaryotes and eukaryotes in symbiotic and pathogenic relationships depends on the ability of both groups to detect and respond to one another's secreted molecules.
Post hoc power analysis indicated that 25 patients should be analyzed in both groups to detect the differences in patients satisfaction score as found in our study.
Thus, with a significance level of 0.05, our study with 66 healthy eyes and 42 pIOL eyes has a power of >90% for both groups to detect a 0.10 mm difference between two measurement methods.
Therefore, with a significance level of 0.05, our study with 66 healthy eyes and 42 pIOL eyes has a power of >90% for both groups to detect a 15-μm difference between two measurement methods.
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Using Monte Carlo techniques, SaTScan assigned relative risk probabilities to defined block groups to detect both the location of clusters and evaluate their statistical significance.
By knowing each trading partner intimately, a company can better monitor the group to detect potential problems and rely on them for help to deal in unforeseen circumstances.
We calculated that 8 mice would be needed in each group to detect this difference.
We found that we needed 11 subjects per group to detect this difference.
First, differences between both groups were difficult to detect, due to the small sample size and therefore reduced power.
Second, it must be possible for group members to detect when those norms have been deviated from.
The limitations of our study are the retrospective nature of our analysis, the small sample sizes of both groups (limiting our power to detect differences between former BPD and non-BPD infants with statistical significance), and the lack of a control group of healthy infants [ 44].
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