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Triple Threshold Statistical Detection.
This new detection algorithm is designated as Triple Threshold Statistical Detection (TTSD).
In contrast, the proposed noise signature-based triple threshold statistical detection method promises better results in the case of highly corrupted random images too.
Thus, the proposed triple threshold statistical detection method is an adaptive filtering approach which can be considered as a high-performance method in its class.
By further comparison of two kinds of thresholds in Table 7 and Table 8, it is easy to find that, for each group of stereoscopic image set, the symmetric threshold (statistical mean of QPSE_JND in Table 7) was less than the corresponding asymmetric threshold (average QPTAVT in Table 8) on the whole.
Relative survival in terms of the hazard of death for treatment compliant and noncompliant patients was assessed by determining the adjusted progression to all-cause mortality and evaluated with Cox proportional hazards models with forward manual inclusion (threshold statistical significance was P ≤ 0.05) using SPSS version 18.
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Typically, what are referred to as activation images are actually thresholded statistical parametric maps.
It can also be used to characterize a small number of sub-threshold statistical associations (e.g. those with the 10 smallest sub-threshold p-values) to assess for the likelihood of false negative conclusions.
Bonferroni multiplicity correction adjusts the threshold for statistical significance by the number of statistical tests conducted.
The threshold for statistical significance was considered as p value <.05 for all statistical analyses.
In an additional 783 counties for women and 48 for men, there were declines that did not reach the threshold of statistical significance.
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