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The timing function (6) requires theoretical auto- and cross-correlations, which are often realized using the sample correlation.
Prediction accuracy in GS usually is assessed using the sample correlation between predictions and phenotypes.
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Sample size values were calculated using the sample size formulae available for the correlation coefficient 6 for scenario (a), and for the two-sample t test 7 (Equation 5.2) for scenario (b).
The sensitivity of the IDEXX PRRS OF ELISA in oral fluid from cotton gauze swabs and GenoTubes compared to the IDEXX PRRS X3 Ab test in serum was tested using the samples from group 2. The correlation of S/P values of the ELISAs were tested in group 2 with the correlation coefficient after Spearman.
Kurowicka and Cooke (2006), Section 4.4.6, p.102, generate universal trivariate copulas with arbitrary valid rank correlation matrices using the sampling algorithm (2.7) based on the so-called "elliptical copula" for the involved copulas C13 u1, u3), C23 u2, u3), C12|3 u1, u2).
The factor analysis is carried out on the sample correlation matrix estimated using robust methods.
In order to implement this approach, tables are obtained providing sub-intervals for the sample correlation coefficient, and the scalars to be used if the sample correlation coefficient belongs to a particular sub-interval.
We use the inter-sample correlation to estimate the variance of the random variable representing unknown confounding and incorporate this variance into the model of coexpression.
To estimate the effect of heat inactivation on the performance of the ELISA we evaluated the repeatability of the test before and after heat inactivation of the samples using the concordance correlation coefficient (CCC) [ 20] and Bland-Altman plot [ 21].
The matrix was then imported into Biolayout Express3D and a graph created of the sample-to-sample correlations using the Pearson correlation relationships r ≥ 0.84 to define edges (Fig. 1).
We compared the PCs and FACs obtained from random subsets to those from the full sample using the Pearson correlation coefficient, r.
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