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To estimate the relative difference in gene expression between samples, we assumed that the efficiency of amplification was 90%, a typical value [ 59, 60].
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Significant differences in spot intensities between CIS-t and CIS-s were evaluated by statistical analysis implemented in the Delta2D software using the "between samples" T-Test assuming different group variances (Welch approximation) and without correction for multiple testing.
In determining the sample size, we assumed equal participation rates between women with a vaginal delivery and women with a caesarean section delivery.
For calculating an appropriate sample size, we assumed that the true value of Kappa [ 40] for the GIPD scale is 0.8 (between patients and parents as well as between patients and physicians).
These weights are based on the differences in resolution between genotype clusters for individual samples, which we assume is related to the variance of allele frequency estimates for pooled samples.
Because all the ancient haplotypes were closely related to contemporary ones, and three haplotypes were shared between ancient and contemporary samples (see Results), we assumed that ancient and contemporary wolves represent the same population in different time periods.
In the two-sample model, we assume only two samples x 0, x t are obtained.
Lines: sella to gnathion (S-Gn), dashed line perpendicular to FH. Regarding the sample size calculation, we assumed 1.7° mean difference in FMA measurements between the two groups, with the standard deviation assumed to 2.75 in both groups.
For sample size calculation we assumed a rate p1 = 0.50.
To derive the relationship between sample size and uncertainty in λ, we assumed that individuals would be sampled approximately in proportion to the SSD.
For computing sample size, we assume d is positive.
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