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Prior to MB-MDR submission, original traits are either left untransformed or transformed into new traits via logarithm transformations (Log), standardization transformation (Stz) or via rank-based transformations.
According to these interpretations, modern states seek to control their subjects and coordinate economic development through various "rational" and "scientific" strategies that involve the standardization, transformation, and bureaucratization of space, territory, and landscape.
For statistical analyses of the single physical factors of wrist pulse waves, binary logistic regression (LR) was used to examine any significant differences between hypertensive and normotensive subject groups after applying a standardization transformation.
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No significant differences are observed between empirical power estimates derived from MB-MDR analysis on untransformed traits compared to those analyses based on trait standardization transformations (results not shown).
It is assumed that any desired data transformations (e.g. mean centering, standardization, log transformation of mRNA expression ratios) have been performed and that missing values have been imputed or removed for a complete case analysis.
aCurves with four (a) and three (b) response categories, after standardization and transformation (c).
The steps above were repeated with standardization and rank transformation as data pretreatment methods.
For standardization (structure canonicalization and transformation – see Additional file 1: Table S9) the molecules were supplied to ChemAxon's Standardizer module (JChem 6.0.0, 2013, ChemAxon, http://www.chemaxon.com).
No data transformation or standardization was done prior to analysis.
Data transformation and standardization were performed using scripts written in the R statistical programming language.
To compare the individual blood values directly, an Rf (relative frequency) transformation or standardization was undertaken whereby the range was set as 100 units for each parameter.
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