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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.
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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.
Multiple backward stepwise regression (LR method) was used to specifically determine variables that were associated with khat chewing.
We used Composite Interval Mapping (CIM) testing at 2 c m intervals and a stepwise regression method (forward and backward) with five background cofactors and a 10 c m window.
Regarding the selection of the predictor subset from the regression analysis, there are many available methods that include stepwise regression method, forward selection method, backward elimination method, and best subset method (Cohen et al. 2003; Miller 1990).
Thus, the stepwise regression method which combines forward selection method and backward elimination method was applied to compute the AIC statistics.
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