Sentence examples for stage thresholds from inspiring English sources

These optimal stage thresholds suggest that abnormal CSF measures, atrophy rate, cognitive test scores and hippocampal and entorhinal volume provide the best prediction of conversion in ≤2 years, whereas just abnormal CSF, atrophy rate and ADAS-Cog and Rey Auditory Verbal Learning Test scores is the combination that best predicts conversion over a period of 3 to 5 years.

where is the stage threshold, is the weak classifier's weight, and is the total number of weak classifiers (features).

The likelihood ratio test for the first stage threshold estimate is: F 1 = S 0 - S 1 ( γ ̂ 1 ) σ ̂ 2 (6).

It is important to note that at this stage thresholding is necessary for the opponent because the industrial printers can only print dots, e.g., binary versions of the scanned code.

Algorithms in this category include iterative hard thresholding (IHT) [63], subspace pursuit (SP) [64], approximate message passing (AMP) [65], two-stage thresholding (TST) [66], algebraic pursuit (ALPS) [67] etc.

Assuming the first threshold is given, the optimal second-stage threshold estimate is found by minimizing the residual sum of squares for Equation 7. The likelihood ratio test of one versus two thresholds is be based on the statistic: F 2 = S 1 ( γ ̂ 1 ) - S 2 ( γ ̂ 2 ) σ ̂ 2 (8).

We tested these two alternatives in a two-stage thresholding procedure [27].

The power was calculated based on the probability of passing both the 1st-stage p-value threshold (<5×10−5) and the 2nd-stage threshold (<0.0008 or 0.05/63 by Bonferroni correction) given the effect size.

First, it is essential to identify the correct phenotypic staging threshold recognizing that the signature only exists in a subset of tumors that exceed that particular stage.

Likewise, extending the first-stage threshold would have resulted in more false positives being considered in the second stage and higher risks of overparameterization.

With respect to P-value threshold selection at each stage, a lenient first-stage threshold was used to capture most true positive associations at the expense of some false positives.