The phrase "a standardized variance" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or research when discussing the concept of variance that has been standardized for comparison purposes.
Example: "In our study, we calculated a standardized variance to better understand the distribution of the data across different groups."
Alternatives: "a normalized variance" or "a standardized deviation".
The latter profile has thus a higher ability to predict the first one than vice versa, and makes a profile with high standardized variance causal over a profile with a low standardized variance.
In the multivariate analysis, all things being equal, i) a 10% increase in the overall adherence induced a 30% decrease of the relative risk of death (HR = 0.73; 95% CI: 0.66 0.81); and, ii) a unit increase in the standardized variance induced a 45% increase in the relative risk of death (HR = 1.45; 95% CI: 1.03 2.06).
In the univariate analysis, i) a 10% increase in the average adherence induced a 30% decrease of the relative risk of death (HR = 0.73; 95% CI: 0.66 0.81); and, ii) a unit increase in the standardized variance induced a 50% increase in the relative risk of death (HR = 1.49; 95% CI: 1.04 2.12).
The three diagonals of the five by five tables of A, D, and E contained the standardized variance components.
In the multivariate analysis, a model that included a term of interaction between the average and the standardized variance of adherence did not show a better fit than a model without this interaction.
Among all, the highest eigen value retained more standardized variance and a value greater than the one considered for the analysis.
Thus, there is a general increase in the standardized variance in male success caused by extra-pair paternity, and this variance is directly related to the expression of secondary sexual characters [review in [ 24]].
Based on the above assumptions, four sources of variation interpreted as latent and standardized variance components in a structural equation model can be identified: additive genetic (A), dominance genetic (D), common environment (C), and unique environment (E).
However, the maximum opportunity for selection (I), measured as the standardized variance in ARS, and Morisita's index, a measure of how uniformly fitness is distributed across individuals (I δ ), were much higher in floating males than territorial males.
However, this association had not the same effect size within each of the three groups, which means that there was a significant interaction between the average adherence group and the standardized variance group.
