The phrase "adjusted variance" is correct and usable in written English.
It can be used in statistical contexts where variance has been modified or recalibrated to account for certain factors or conditions.
Example: "The adjusted variance of the dataset provides a more accurate representation of the data's spread after accounting for outliers."
Alternatives: "modified variance" or "corrected variance".
adjusted variance; F Fisherr's F; β: Beta, standardized coefficient; VIF variance inflation factor.
Adjusted R = explained adjusted variance.
The application of the adjusted variance covariance matrix accounts for the higher true variance in the estimates to give a more accurate picture of the statistical uncertainty.
To ensure that confidence intervals were not erroneously narrowed due to dependencies within twin pairs we performed analyses that adjusted variance estimates for correlated outcomes.
In the final step, one component of social cohesion (believing people could 'be trusted') made a further, small contribution to explaining variance in mothers' distress, bringing total adjusted variance explained to 29%.
There were no significant two-way or three-way interactions between height, education and income on the number of children ever born or surviving to 18 years.> -wrap-foot> Total dev and total R are respectively the total deviance and total explained adjusted variance from the full model.
In all statistical testing, we used Stata survey commands, which adjust variance estimates to account for the complex sample design of the CHIS (30).
SUDAAN software (Research Triangle Institute, Research Triangle Park, NC) was then used to adjust variance estimates for potential intrahousehold correlation resulting from the inclusion of more than one child per household.
Village-level random effects were used to adjust variance estimates for within-village clustering and provide valid multilevel statistical inferences, given the clustering inherent in the study design (20, 31 ).
The most common approach is to adjust variance estimates via generalized estimating equations (Liang and Zeger 1986), thus allowing for appropriate estimation and inference, even when the exact structure of dependence is not known.
Programs were modified to account for general heterosis, to group unknown parents separately by breed, to adjust variances separately by breed, and to adjust data to a 36-mo age equivalent instead of a mature equivalent.
