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Stepwise criteria for variable selection.
None of the variables met the stepwise criteria for saccade amplitude.
Control variables (demographic and disease characteristics) were entered first, and then injection-related experience and attitudes were entered using stepwise criteria (P < 0.05).
Thus only chromosome 22 demonstrated a peak for the non-diabetic subset using both analytic approaches (see step 5 in Methods stepwise criteria).
Recently, these analyses have been anchored to MLDMs, by providing stepwise criteria for the use of omics-based predictors in clinical trials [ 68].
To determine the main factors, we used linear regression and the stepwise method (Stepwise Criteria: Probability-of-F-to-enter < =.050, Probability-of-F-to-remove > =.100).
This sequential inclusion/exclusion of independent variables according to stepwise criteria led eventually to the selection of an independent variable that significantly influence on the variability of the dependent variable [ 17].
Information on potentially confounding lifestyle factors and food consumption habits collected for the OSCAR cohort were included in the linear regression model if they fulfilled the stepwise criteria (probability-of- F-to-enter ≤ 0.10, probability-of- F-to-remove ≥ 0.15) to aid the interpretation of the results.
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Stepwise criterion for variable selection; n = 98.
They were introduced to the forward stepwise (criterion for entry p < 0.05) multivariate Cox proportional hazards model.
For the univariate and multivariate regression analysis, stepwise criterion for variable selection, we identified the factors associated with mobility.
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