The effect of having no, one or multiple LDD syndromes (categorical predictor) on the distribution of plant species within each archipelago was evaluated with generalized linear models, considering the number of palaeo-islands (Poisson distributed error) as the dependent variable.
To analyse if patients' preferences influence outcomes, we used multiple regression with dummy variables for categorical predictors.
For the final models, pairwise comparisons for categorical predictors were made, with Bonferroni adjustment for multiple comparisons.
The multiple Wald test and LRT were used to evaluate differences between categories of categorical predictors.
The multiple Wald and the likelihood ratio test were used to evaluate differences between categories of categorical predictors.
Fish biometric measurements were statistically evaluated as categorical predictors of parasite recruitment into fish stocks.
Its applications include regression analysis, classification problems with/without continuous categorical predictors.
Table 4: Statistical results from a General Linear Model between mean heart rate (continuous predictor), embryo positioning and clutch of origin (categorical predictors), and snout-vent length and body mass at birth (dependent variables).
If you want to slice by multiple categorical variables, you can use the Columns stage.
This model examined the form effects using indicators of test forms as categorical predictors.
