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Confounders were retained if they changed the beta coefficients of predictors by greater than 10%.
In all regression models risk factors were explored using univariable regression analysis and were retained in the multivariable model based on forward selection; hypothesized risk factors were included and confounders were retained based on univariable P<0.2.
In Model Two no confounders were retained.
Variables considered confounders were retained in the model.
Missing data for all potential confounders were retained in the analysis, coded to a separate category.
Confounders were retained in the multivariate analysis if they changed the estimates by more than 5%.
Similar(42)
To assess whether a potential confounder actually confounded the association of driver licensing policies with fatal crash involvement rates of older drivers, models were estimated with and without each potential confounder; the confounder was retained if the RRR for any licensing policy differed by 10% or more in the reduced model relative to its value in the full model, otherwise it was removed.
The strongest confounder was retained from each round, until the regression coefficient did not change significantly by adding the next confounder.
A potential confounder was retained in the final multivariate model if it changed the age-adjusted parameter estimate for combined leukaemia in a meaningful way (e.g. >10%).
Sex and age were taken as apriori confounders and were retained in the final model.
Relative to the unadjusted models for total water intake from the follow-up data, we examined percent change-in-estimate for the linear regression models for the confounders that were retained in multivariate models.
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