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Sample sizes should be calculated to detect meaningful differences and for a number of different design parameters to account for the uncertainty in these parameters.
Moreover, the descriptor-based distance to a dedicated compound can be calculated to detect neighboring compounds.
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An initial sample size calculation was calculated to detect a difference of 0.5 kg/m in mean BMI between the two groups, with 80% power and 95% significance level, assuming a standard deviation of 1.5.
In those methods, a residual is calculated to detect the fault based on the output information.
In the proposed model, permutation entropy (PE) of the vibration signal is calculated to detect the malfunctions of the bearing.
The McGill Pain Questionnaire was pre-defined as the primary outcome measure, and sample size was calculated to detect a difference of 8 units on the total pain rating index of this instrument after 8 weeks of healing.
A nonparametric correlation coefficient was calculated to detect correlation between the two groups.
Sample sizes were calculated to detect a 20-percent difference in BPND between independent groups (two-tails t-test) using the software G*power 3.1 [22].
FCD was calculated to detect the brain regions with abnormal functional activity over the whole brain, and the seed-based RSFC was performed to explore the functional network changes in MOH and EM.
A sample size of 422 patients was calculated to detect a 15% absolute reduction in mortality in the peripheral perfusion group with 90% power and two-tailed type I error of 5%.
The sample size was calculated to detect a 50%% reduction in wound closure time from 240 s with sutures to 120 s, with a standard deviation of 120 s, with tissue adhesive at a two-tailed significance level of 0.05 with a power of 95%%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com