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The authors stated without showing data that their results are consistent for different cut-off thresholds, significance levels, etc.
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The threshold significance level for all tests was established at p < .05.05
The log-likelihood (LOD) threshold significance level (P < 0.05) was determined by computing 1,000 permutations.
The LOD threshold significance level (P < 0.05) was determined by computing 1000 permutations.
Further, it was possible to estimate a specific threshold significance level that can be used as an indicator for reliable parameterizations with respect to process design.
The threshold significance level was p < 0.05.
Threshold significance levels were determined by permutation analysis (1,000 permutations).
Bonferroni correction was applied with a threshold significance level of 0.01.
In our method, we use the posterior probabilities obtained from the QDA classifier for threshold significance.
Covariates not reaching threshold significance: gender; time to 1st CRP observation.
Finally, we used the Benjamini and Hochberg method and a FDR cut-off of 5%% to threshold significance [ 105].
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