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A typical cutoff for small-cap stocks is a market capitalization of $1 billion.
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Regions are then filtered based on the q-value with a typical cutoff of 0.01 (FDR≤1%).
Using a typical cutoff of <50 ng ml 1 we found an adjusted OR of 4.23 (95% CI: 1.86 9.63) and this value was higher than the crude estimate.
28 To find DEGs, we usually use the t-test with the ordered set of P-values convertod to cumulative false discovery rate (FDR) estimates, for which a typical cutoff would be 10%.
A typical cutoff E-value < 1e-5 was used.
A typical cutoff value of E < 1.0-5 was used.
For a one-stop test of hypothesis with type I error of 5%% under the normal distribution the typical cutoff Z-value for a significant result is 1.96, for which the probability P −1.96 < z < 1.96) = 0.95.
Since this value is greater than the typical 10% cutoff for a relative change in effect estimate, comorbidity would be retained as a stratification variable or covariate in a statistical model.
Using a typical assay cutoff, the hit rate was calculated to be 0.8%.
At typical cutoff values we find the optimized breakup to be two orders of magnitude more accurate than the standard Ewald breakup for a given computational effort.
In the Fig. 1 example, if the third interim analysis occurred at 9 months, we might reject the null hypothesis, H0, if the absolute value of the observed z-score is >2.34, accept H0 if <0.07 (a typical value for a futility cutoff), or continue.
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