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Because of the number of higher-order interactions with five main effects, we applied a modified version [37] of the typical model simplification approach, in which one starts with the full model and removes least significant highest-order terms (e.g., the five-way interaction) singly in a stepwise manner [38].
This procedure starts with the complete model and removes iteratively the least significant predictors until only significant variables remain.
Similar(58)
Covariates found significant in bivariate analysis (Chi-square test) at a level of P < 0.20 were included in the model and removed using a backwards stepwise method (Wald test with removal level of significance of P < 0.10).
The bone is then penetrated by blood vessels, which grow into the degenerating model and remove the calcified cartilage enclosed within the collar.
That's when Hong and Young decided to rip apart their business model and remove the requirement for members to have premium accounts to talk to each other.
Both Larsen and Polli said their companies test each model and remove biases they identify.
Independent variables found to be significant in bivariate analysis at a level of p<0.25 were included in the model and removed using a backwards stepwise method.
Variables with a p<0.20 were included in the multivariate logistic regression model and removed using a backwards stepwise method (Wald's test).
For the multivariate analysis, variables with P-values <0.25 were initially introduced into the model and removed following a backwards-stepwise selection procedure to leave only those with a P-value <0.05 in the final model.
Variables with p<0.1 were then included in a multivariate regression model and removed using a backward stepwise process if their significance was not retained, until all remaining variables had p<0.05.
Residual temporal autocorrelations were approximated by an AR(1) model and removed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com