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A lower 4 K m−1 threshold value is tested, based on results from Oke et al. [ 2007] and Ryan [ 1972].
Each P value is tested for (1) Let k be the largest value of i for which equation (1) holds, then reject all null hypotheses i = 1… k (Benjamini and Hochberg 1995).
To judge if two MAP values are significantly different or not, we employ the randomization test described in Smucker et al. (2007): for each query, this test randomly reassigns the AvePs achieved by two methods to one another, and computes the difference between the resulting MAP for multiple such reassignments to get a distribution, against which the true MAP value is tested in terms of P-value.
Similar(57)
In this paper, the Z value was tested at 90%, 95%, and 99% levels of significance.
The significance of the Φ ST value was tested using 10,000 random permutations.
Differences in survival between patients under or above the calculated cutoff value were tested using the log-rank test.
Statistical significance of differences in mean value was tested using ANOVA with bonferroni post hoc test.
Validity of binarization threshold value was tested further.
Results are displayed as the median, and difference from the control value was tested.
The P value was tested against a significance threshold of 0.05.
The agreement between predicted and observed value was tested by Cohen Kappa's coefficient.
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