Sentence examples for selecting predictors from inspiring English sources

2.1 software [ 39] after normalizing the environmental layers through a recommended Box-Cox transformation [ 7] Model selection, the process of selecting predictors and parameter estimates in a model, is considered one of the most crucial steps in a model building procedure [ 40], and model selection in logistic regression can be performed in a variety of ways.

The two competing methods used to attribute extra hospital days to HAI were: (i) a matched cohort design; and (ii) a procedure for selecting predictors associated with length of stay and their subsequent inclusion in a statistical model of length of stay.

Data availability was also a factor in selecting predictors.

In the interest of constructing models and selecting predictors, two-thirds of the original set was assigned to training sets.

After selecting predictors for our final multivariate model, we evaluated their possible interactions by including 2-way interactions in consecutive models.

In general, the task of selecting predictors in a sample containing more variables than observations poses serious problems if there is no a priori hypothesis, and if conventional regression analysis is employed.

The quantile regression model also allows considerable flexibility in selecting predictor variables in that different subsets of predictors can be used for different parts of the conditional distribution.

The synthetic control method is an important tool in policy evaluation which has been expanded by Abadie et al. (2015), who introduce the cross-validation technique for selecting predictor weights.

Nor is determination of causal variables necessary, as is the case when selecting predictor variables to include in a multivariate model fitted using OLSR.

In ASD, the significantly correlated climate variables were subjected to backward stepwise predictor selection and the selected predictors were subsequently used to estimate the selected low flow indices using Multiple Linear Regression.

It was shown that health care professionals' consensus based selection of key predictors reflected most statistically selected predictors but also included additional predictors which were not identified by statistical selection.