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It is notable that the amount of residual (portion of variability in chronic malnutrition not explained by the model is quite large) meaning that chronic malnutrition is explained by a number of other variables not in the equation.
In addition, circulating levels of IGF are influenced by non-genetic factors such as diet [ 54, 55], physical activity [ 54, 55], exogenous hormones [ 56- 58], and anthropometry [ 54- 56], which may explain a greater portion of variability than genetics.
The TCE metabolite data were examined for evidence of strain and time effects using a fixed-effect two-way ANOVA model, with partial R used to describe the portion of variability attributable to "strain" and "time".
Table 3 summarizes the rate at which unit costs change when output levels double (from 25th percentile scale) and the portion of variability in unit costs that are explained by scale (R).
For example, the annual component explained a portion of variability for all metrics and indices, ranging from a low of 5% of total variance explained (for Diptera richness) to a high of 35% (for % intolerant).
With 30% of MD explained by known epidemiologic risk factors [ 62] and 30% to 60% by genetics [ 5, 63], a large portion of variability in MD could be understood.
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Furthermore, although the 2-h post-OGTT glycemia explains between 19 and 28% of the DNA methylation variability at the leptin gene locus, a significant portion of the variability remains to be explained by other factors.
One possibility is that some portion of this variability was due to the variance in blood collection times (i.e., 9 AM to 4 PM); however, this is unlikely because no correlation was observed between time of blood draw and NKCA.
Hence, detectability is analogous to the decision to include a given explanatory variable in a regression analysis, based on the criterion that the variable itself explains a substantial portion of the variability observed in available measurements.
An exploratory backward regression model was created from this to determine if fewer variables could still explain a large portion of the variability in the data.
A meta-analysis of 43 papers relating differential family experience of siblings to differential outcomes concluded that "measured nonshared environmental variables do not account for a substantial portion of nonshared variability" (Turkheimer & Waldron, 2000, p. 78).
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CEO of Professional Science Editing for Scientists @ prosciediting.com