Sentence examples for more indicator variables from inspiring English sources

Below we show how one or more indicator variables can be used in order to produce rules that can define subgroups of interest within the data.

We then examine trends in key indicators (both predictor and outcome variables) to see if there is a logical temporal and spatial relationship among trends in one or more indicators (predictor variables) and outcomes and across multiple data sets.

Based on these suggestions, the next step in understanding the social context of girls with CD would be to use a more comprehensive set of indicator variables, examine multiple social context domains, and study inter-domain relationships with CD.

Because of multiple testing, indicator variables with a more stringent p value of 0.005 or less were considered as statistically significant, indicating that the death rate by day 100 of the specific mismatched type by position subgroup is different from that of the matched group.

These relative variables are constructed as difference in the numerical values of the respective variables for i and j multiplied by indicator variables for i being more educated/older.

To maximise power, day-of-week effects were controlled for using indicator variables rather than the more common approach of matching.

Predictor variables with more than two categories were modelled using sets of indicator variables.

Secondly, we replaced categorical predictors with more than two levels by a series of binary indicator variables.

On the other hand, discrete variables with more than two categories were analysed by means of categories or indicator variables.

With this method, unlike the more usual dummy variables, combining the categories by reducing the number of indicator variables gave a simpler but coherent scale.

The indicator variables help to represent the admission control problem in a more compact form.