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Our procedures rely on asymptotic results, so we investigate small-sample behavior and compare the two procedures in terms of simultaneous coverage probability and mean interval length.
For each set of intervals (observed CNV breakpoint regions and random sets), inter-probe regions were ordered according to sequence length, and cumulative plots were constructed of mean element density versus mean interval length.
Each table cell is the per cent mean coverage probability or the mean interval length over all combinations of distributions.
On average, the mean interval length as defined in the Material and Methods section was 8.5 cM for E. urophylla and 9.6 cM for E. grandis.
The metric used to compare the null (i.e., broken-stick) and observed distribution was the standard deviation (SD) from the mean interval length; i.e., lower SDs mean the more uniform are the lengths of the intervals [e.g., [ 25]].
In our study, the mean interval length between the 364 usable markers was 3.7 cM with 29 intervals being larger than 10 cM and one interval exceeding 20 cM (Supplementary Fig. S2).
Similar(52)
Mean phonated interval length increased significantly for the fluent controls.
This shows that the mean preferred birth interval length is significantly greater than the mean actual birth interval length.
Because of the spike shape of the type I error for increasing AUC0 (see for example Agresti and Coull [ 15]), we simulated for each AUC0 also AUC0 ± 0.01 and calculated the mean coverage probability and interval length of the three scenarios.
To evaluate test-retest reliability, a t-test for related samples was performed to compare mean differences in interval lengths between the two measurements.
For each interval length n, the mean standard deviation [F(n)] of these integrated and detrended series is computed.
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