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Model reduction was carried out using stepwise backwards elimination, removing variables with p > 0.05.
Non-significant variables were excluded by backwards elimination, removing the least significant first.
Model reduction was performed by stepwise backward elimination, removing variables and interactions not significant at P < 0.05.
The saturated logistic regression model was reduced by manual backward stepwise elimination, removing those variables that were not significant (as characterized by p values > 0.05) and that did not confound the other measures of association.
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Backwards elimination removed nonsignificant variables.
A syn-oxypalladation then produces 86 ,which on subsequent β-hydride elimination removed the cis-positioned deuterium.
Backwards elimination removed variables until only those present at the P < 0.05 level remained in the model.
In the second stage, backwards elimination removed potential confounders using a Wald test p value threshold of 0.05.
Programmed DNA elimination removes approximately 1/3 of the germline genome, which is distributed throughout the MIC genome as > 8,000 internal eliminated sequences (IESs), from the newly formed MAC (Fass et al, 2011; Schoeberl et al, 2012).
The final logistic regression model was constructed by using the backward stepwise elimination procedure, removing predictors with p>0.05.
We then implemented a backward elimination procedure, removing explanatory variables one by one and observing if the estimate changed.
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