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The difference in entropy highlights the consistent and inconsistent parts of the graph: the blue-spectrum nodes and arcs increased their entropy (lost information), while the red-spectrum variables lost entropy (gained information).
After adjustment, these variables lost their significance.
The other models and variables lost their significance when adjusted for AP > 1.5 ULN and the CS nonresponse.
Among boys, when further adjustments were made (Model 2), all associations with socioeconomic-related variables lost statistical significance.
During the analysis, according to the Andersen and Davidson (1997) model, other tested variables lost their association with the outcome.
However, the relative importance of the income effect became particularly important after 1990 all other explanatory variables lost importance in absolute terms, while the income effect stayed stable.
Similar(50)
When the sample is split into white and red wines, the first thing to note is that many variables lose significance (Table 7).
Next on the agenda for the group is understanding how Mira variables lose material until they are down to a tiny fraction of the sun's mass.
The rest of the macroeconomic and institutional variables lose part of their statistical significance when analysing the determinants of reforms by subdomain, probably due to the reduction in statistical precision brought about by dividing the sample.
When we drop the 171 visits at which A1C was out of date (>3 months old), similar point estimates are seen, although some variables lose statistical significance because of lack of power.
Self-concept clearly mediates the relationship between MFD and QoL-AD, with the relationship between these variables losing statistical significance when self-concept is added to the model (β changes from 0.263, p = 0.009, to -0.028; p = 0.803).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com