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The backward stepwise procedure yielded a best model with three SNPs (P = 0.009): two of the intergenic region, namely rs13207033 and rs609438, and the rs582757 SNP from the TNFAIP3 gene.
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Bacterial inactivation, as logarithmic reductions of Enterococcus spp. counts, was modeled through the backward stepwise procedure.
Multivariable models were created by a backward stepwise procedure using Egret for windows.
Starting with the saturated model, a backward stepwise procedure was used, removing any term with P>0.05.
A backward stepwise procedure was applied, to select the variables to be included in the final model.
In all of these GLM and MANOVA analyses, the non-significant covariate terms were eliminated by a backward stepwise procedure.
A backward stepwise procedure was used to select variables retained in each of the final models [24].
A backward stepwise procedure was used to remove variables until all variables retained in the final model had p values <0.05.
© Using backward stepwise procedure.
These covariates were selected using a backward stepwise procedure.
A backward stepwise procedure (back-step) was used to eliminate variables in the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com