A forward stepwise logistic regression analysis was used.
A forward stepwise procedure was used to identify most potent predictors.
Binary logistic regression analysis was performed with a forward stepwise entry method.
A forward stepwise procedure was used to identify most potent predictors of outcome variable.
We used a forward stepwise method to generate the regression model.
A forward, stepwise, multiple regression analysis was used to find predictors for outcome.
All LiDAR derived metrics were also entered into a forward stepwise linear regression.
Parameters with p < 0.05 were entered into a forward stepwise procedure, and retained in the model if p < 0.05.
Multivariate analysis was also performed using a binary logistic regression models and a forward stepwise (likehood ratio) procedure.
The model would likely have at least two significant predictors; thus a Forward Stepwise analysis was used.
A forward stepwise selection approach was used to identify significant associations.
