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None of the associations analyzed with the primary composite outcome of disease progression that were not statistically significant became statistically significant when we applied the reduced composite outcome of disease progression.
Conversely, if a variable that was not previously statistically significant became so with a change of ≥15%, that grouping was also considered confounding.
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For example, all differences that were statistically significant (p <0.05) in the CCA remained significant with imputation and no non-significant results became significant.
None of the non-significant predictors became significant.
For 5 reviews, a non-significant result became significant when we used the alternative model (Table 2).
In three networks some non-significant effects became significant, and in 12 networks the opposite change was seen.
In each case, the unadjusted p-values were significant, but became non-significant after adjustment for multiple comparisons.
From 1998 through 1999, the difference was not significant, but it became significant between 1999 and 2000 (Table 4).
For growth estimates, most significant associations became nonsignificant, whereas several associations with recent height gain (ΔHSDSchildhood) became significant (see Supplemental Material, Table 3).
However, no significant difference became apparent when we compared pre- and postoperative concentration of S100A6.
This significant test became known as the AST USFT#1.
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CEO of Professional Science Editing for Scientists @ prosciediting.com