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Peer review has also been used for data evaluation, with one student's experiment and data being evaluated by at least one other student and the students working together to propose a rating and justification.
Such criteria are exacting, but provide high levels of confidence in the data being evaluated.
When describing BSV, parameterization is usually based on the type of data being evaluated.
Similar to BSV, selection of the RUV model is usually dependent on the type of data being evaluated.
Because RUV is dependent on the data being evaluated, both sides of the equation must be transformed in the same manner.
We used Sprent's equation [ 21] to find statistical outliers in sample replicate experiments: | X i − M | M A D > M a x where X i is molecular expression data being evaluated as a potential outlier, and M is the median of the molecular expression data in all samples.
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Systematic clinical data were evaluated.
Data were evaluated by various statistical models.
All data was evaluated and interpreted with Xcalibur Software Thermo Scientificc, Dreieich, Germany).
Paired data were evaluated by the Wilcoxon test.
The particle size analysis data were evaluated using intensity distribution.
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