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In addition, the percent of variability in the immune response measures explained by the haplotypes was modest, even for the two models with statistically significant global tests (r-squared = 0.80% for the association of antibody levels with the combined class I and class II haplotype, and 4.98% for the class II only extended haplotype).
Are associations among measures explained by common genetic or common environmental influences?
To assess the contribution of phthalate metabolites to the model fit, the percent variation in the outcome measures explained by each metabolite was calculated by computing the difference in adjusted R between the full model with and without that metabolite.
However, the proportion of the variation explained by the models was low, and the proportion of the variance in outcome measures explained by the physical exposures was also low.
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In other words, the PCA maximizes the variance of the variables measured, explained by the factors.
Reliability is the proportion of variability in a measure explained by the construct of interest, as opposed to the proportion attributable to measurement error (random fluctuations in the measurement not reflecting changes in the underlying construct) [ 38, 39].
Heritability analyses of the skin aging features in the twin population demonstrated that 41 60% of the variation in sun-damage, skin wrinkling, wrinkle depth and pigmented age spot measures were explained by genetic factors (Table 3 and for an example of differences in twins see Fig. 3).
This discrepancy between objective & self-reported measures is explained by Van Uffelen et al. who demonstrate that older adults made judgements and generalisations when answering physical activity questionnaires [ 29].
The inconsistency of results across measures was explained by the different cerebral and biological deterioration processes that could occurring before death.
In total, between 4 and 11% of the variability in FH measures were explained by PH indicators in the model.> -wrap-foot> Note.
While there was limited covariance between autistic traits and language, the bivariate heritability and environment estimates suggested that, in both sexes, the majority of rph between these measures was explained by shared environmental influences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com