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Longitudinal data analyses will be conducted, including the use of life table methods and person-time approaches, and generalized linear models will be developed using backward stepwise regression methods to identify factors associated with various health related outcomes.
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Ten covariables were further analyzed with the Cox regression model by using a backward stepwise regression method.
The best model was determined using backward stepwise regression method.
A multiple linear regression was performed using the backward stepwise regression method.
We used a backward stepwise regression method to arrive at our final models.
Odds ratios (OR) and 95% confidence intervals (CI) were calculated by means of the backward stepwise regression method.
Tests for the presence of a QTL were performed at 2 cM intervals using a 10 cM window and five background cofactors that were selected via a forward and backward stepwise regression method.
17 We selected the covariates to be included in the final models using personal knowledge and a backward stepwise regression method, keeping interactions and predictors with 0.05≤P value<0.15 if their removal distorted the robustness of the model.
Multiple backward stepwise regression (LR method) was used to specifically determine variables that were associated with khat chewing.
Manual backward stepwise regression was used to construct the final model.
Backward stepwise regression was performed, eliminating variables that showed no significant association (p>0.05) with the outcome.
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