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The backward method was used to reduce the risk of Type II error.
For the multivariate analysis the SPSS 'conditional backward method' was used, and removal was set to 0.2.
In order to identify factors associated with mortality, Cox proportional hazard model with backward method was used to control for the effects of confounding variables.
A stepwise backward method was used, entering all independent variables (age, gender, number of amalgam surfaces, MeHg in blood) at the first step.
Analysis of variance (ANOVA) was used to analyze more than two groups, and logistic regression with the "backward method" was used to associate HFE genotypes and clinical manifestations.
‡Adjusted ORs and 95% CIs derived by multivariate logistic regression models including all the listed variables; backward method was used to select significant variables on the 0.10 level.
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A standard multistep forward-backward method was used to translate MIDAS to Persian.
Subsequently backward elimination method was used to select the final set of input variables.
Predictors were included in each model analysis, and a backward conditional method was used for variable selection using logistic regression (categorical outcomes) or linear regression (continuous outcomes).
A backward elimination method was used for the final model.
The backward stepwise method was used to create the models.
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