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The iterative process resolved in one step for the GAF as the only significant variable remaining in the regression equation.
Periphyton biomass measured downstream of treatment reaches was similarly variable: remaining elevated in Elk Creek but not in Cape Horn Creek.
Confounding was assessed every time a non-significant variable was dropped from the model by comparing the change in the ORs for the variable remaining in the model.
It was not possible to make any final multivariable model since the only variable remaining with a P-value ≤ 0.05 in the model was herd size.
In RA patients whose disease was controlled by in vivo TNF blockade, spontaneous release of IL-7 from bone marrow derived stromal cell cultures was variable, remaining reduced in some patients but returning to normal in others (Fig. 1).
Any variable remaining unselected was then checked for non-ordinal effects by comparing cases with expression of the biomarker ranging between two neighbouring quartiles vs the remaining cases; or middle two quartile ranges vs the remaining; or first and third quartile ranges vs the remaining (four comparisons for each biomarker).
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No other variable remained in the model.
The exposure variable remained statistically significant in the multivariate analysis.
β values related to each added variable remained non-significant.
One variable remained significant: " In the Netherlands, people speak too openly about sexuality" (P = 0.002).
Only XPD 751 and the clinical risk variable remained significant in the multivariant analysis.
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