Exact(2)
Multivariable models were fitted by using backwards stepwise variable selection.
The remaining candidate covariates (cigarette smoking, alcohol intake, oral contraceptive use, and menopausal hormone use) were evaluated for model inclusion by using backwards regression performed on data from the 643 pre- and early perimenopausal participants of the SWAN Mammographic Density study.
Similar(58)
The multivariable analysis was performed by multiple logistic regressions using backwards elimination.
The model was reduced by removing non significant confounders using backwards elimination.
We achieved this by conducting a hierarchical linear model, using backwards elimination of effects.
Negligible terms were removed using backwards model reduction.
Non-significant interactions were dropped from the model using backwards elimination.
The model was adjusted using backwards elimination.
Models were derived using backwards selection.
The univariate parameters with P<0.05 were used in the multivariate analyses using backwards selection.
This gradient is then used backwards by ATP synthase, or F1Fo-ATPase to synthesize ATP.
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