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The nomenclature is based on the number of repeated units of the variable (CCTT n-stretch only.
Furthermore, it is not measured in the original units of the variable from which it is derived.
This exponentiated value reflects the multiplicative association of an increase in one unit of that variable on the central tendency of HOMA.
Log HOMA scale coefficients are the actual results of the linear regression on log10 HOMA while HOMA scale coefficients are 10 exponentiated to the power of the log HOMA scale coefficients and reflect the multiplicative association of an increase in one unit of that variable on the central tendency of HOMA.
Regression coefficients therefore express the rate of change in standard deviation units of the independent variable per one standard deviation unit of the dependent variable [ 46].
Each PC can be represented as a linear combination of the n unit vectors of the variable space.
After a plot has been selected in the sample, measurements are made of the individuals in the plot to determine a stand value (an amount per unit area) of the variable of interest being measured in the inventory (the 'target' variable).
The estimate indicates the hazard ratio (HR) with 95% confidence interval (CI) for every unit increase of the variable.
In a regression model with multiple explanatory variables, the interpretation of the regression coefficient for a binary variable may be easier to understand than a change in one unit of the continuous variable.
The meanings and units of the variables in our model are given in Table 1.
B reflects change in lnFGF23 per unit of the respective variable.
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