The phrase "using the forward stepwise" is correct and usable in written English.
This phrase can be used when referring to a step-by-step, or progressive, approach to something. For example, "We used the forward stepwise approach when solving this problem."
A binary logistic regression analysis using the forward stepwise method was used to assess the risk factors associated with AKI.
A binary logistic regression analysis using the forward stepwise method with occurrence of AKI as dependent variable was performed, including the following parameters: presence of diabetes or shock, use of aminoglycosides, ACEi or AT-IIra, NSAIDs, and immunosuppressants.
Using the forward stepwise selection method, four hierarchical models were constructed: ever sexually active females and males and ever-married females and males.
All available covariates have been considered as potential risk factors and have been included in the multiple models using the forward stepwise approach, i.e. the variables were sequentially added to an "empty" (intercept only) model one at a time giving priority to those that had shown the strongest evidence of association at the univariate stage (smallest P value).
Variables significantly prognostic in univariate analysis were selected for multivariable analysis using the forward stepwise method.
The findings described above were confirmed using the forward stepwise method.
In estimating the coefficient of physico-chemical characteristics of water samples and isolation of V. cholerae in a binary logistic regression using the forward-stepwise method with log likelihood function, it was observed that as pH (Wald = 11.753, df = 1, P = 0.001) increased, the odds of isolation of V. cholerae also increased (B = 1.297, S.E = 0.378, Exp B) = 3.657) (Additional file 3).
Using the forward conditional stepwise (with pE = 0.2 and pR = 0.25), we obtained a decision model in order to predict the result according to presence of a set of considered risk factors [ 30].
Multivariate Cox proportional-hazards model using the forward logistics regression stepwise procedure for the analysis of overall survival showed that gender, pathological TNM stage, and MSI status were independent prognostic factors (Table 3).
All variables with P-value <0.20 were used in the forward stepwise method for the multivariate model.
Cox proportional-hazard modeling was used, applying the forward stepwise analysis method to assess the effects of potential outcome markers.
