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For instance, it is generally agreed to introduce a two-fold gene expression difference over reference values as an upper and lower limit to address three different sources of variance, namely methodological, intra-individual, and inter-individual variance.
As noted by Wickelgren and Norman (1966), when d' is computed from the HR and FAR of an old/new recognition procedure, different sources of variance (e.g., variability in memory signals and variability in criterion placement) are conflated.
The measurement chain was evaluated with respect to different sources of variance (Table 2).
Briefly, overall variability in reaction time results from the combination of different sources of variance occurring on different time scales.
Consequently, true, meaningful and clinically significant measurement, particularly of small expression fold changes, ideally requires a discussion of the potential different sources of variance and bias.
We therefore elected to use multilevel mixed models that allowed us to fully utilize the information from all the measurements in our data and maximize statistical power by distinguishing between the different sources of variance in the data.
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Relative contribution from different sources of variation to the total variance of each variable, with and without herd 1 included.
We present here a components of variance model for explaining the different sources of variation in the amplification protocols (see Statistical Appendix, additional file 1).
A components of variance model was used to explain different sources of variation in the amplification protocols.
Further analysis was done using the PROC NESTED (SAS) to determine the variance partitioning pattern among different sources of variation (i.e. rank, sub-rank, genes).
They account for different sources of variation (patient effects, center effects, measurement errors) and provide direct estimates of the variance components which might be of interest in their own right.
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