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N marker values were generated in each group.

Bone marker values were presented in terms of mean, standard deviation, median, and quartiles.

They showed that inflammatory marker values were significantly associated with histologic grade.

For presentation purposes, log or square root transformed EV marker values were multiplied by 100.

Because the marker values were not normally distributed, they were loge-transformed for analysis.

The inflammatory marker values were significantly higher in patients than population controls (CRP, P < 0.001, ESR, P < 0.001).

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Similar(38)

Using the normal distribution, this was true only when the proportion of subjects with over dispersed marker values was low and that over dispersion limited.

In consequence, any doubling of the marker values was associated with a relative risk of 1.79 for nucleosomes and 4.76 for AP for non-response to therapy.

It is unclear if the diagnostic power for such a combination extends to the population with known marker values but unknown disease status or to the population whose marker values are not used for deriving the diagnostic parameters.

When the marker values are multivariate normal, the estimates by the LDA approach are very close to that of the DF method in terms of AUC, optimal coefficients, and the diagnostic power as indicated by simulation.

Furthermore, GBLUP and RKHS captured population structure and substructures (because of different parental relationships), as well as within and between family means, because regressing the phenotypic values on all marker values is equivalent to regressing phenotypes on all marker-derived principal components (de los Campos et al. 2010; Janss et al. 2012).

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