The phrase "achieved to detect the" is not correct in written English.
It seems to be an incorrect construction and does not convey a clear meaning.
Example: "The system was designed to detect the anomalies in the data."
Alternatives: "managed to identify the" or "succeeded in detecting the".
We have previously demonstrated with the model used here that adequate power can be achieved to detect subtle group differences (46).
Our results showed that, with four technical replicates, 100% power can be achieved to detect a 1.5-fold change, and at least 90% power can be achieved to detect a 1.2-fold change with p-value < 0.05 in the TaqMan reference data sets [see Additional file 7).
The sensitivity achieved is sufficient to detect the NMR signal from individual phosphorus sites in a 0.3 mm3 size single-crystal of GTPase Ras bound to the nucleotide GppNHp, that is, the signal from approximately 1015 phosphorus nuclei.
These calculations demonstrated that we could use 3 mice in the control group and still achieve 80% power to detect the original data's effect size.
To achieve 80% power to detect the observed effect size in the general European population (in which the variant has 40-fold lower frequency), a sample size of 67 000 individuals would have been required.
These assumptions, together with an analysis of covariance adjusted for baseline scores and for clustering, produce a sample size of 67 patients per intervention arm to achieve 80% power to detect the above differences.
These assumptions, together with an analysis of covariance adjusted for baseline scores, require a sample size of 41 participants per group to achieve 90% power to detect the minimum clinically important difference in pain.
Under the assumption that effect sizes are 2, 1.5 and 1 SDs from the mean, to get a P-value of (where is obtained by Bonferroni correction = 0.05/number of genes), using the SEM would require 8, 14 and 31 PTV carriers, respectively, to achieve 80% power to detect the association.
A sample of 253 patients (which covered 5% attrition), each responding to 21 items, achieves 80% power to detect the difference between the coefficient α under the null hypothesis of 0.60, and the coefficient α under the alternative hypothesis of 0.71, using a two-sided F-test with a significance level of 0.01 (Bonett, 2002).
When Advanced LIGO came online in 2015, it achieved the sensitivity necessary to detect the ripples from the shortest-frequency, highest-magnitude gravitational wave sources in the Universe: inspiraling and merging black holes.
