Sentence examples for explanatory predictor from inspiring English sources

Each tir polymorphism and genotype was converted into a categorical explanatory (predictor) variable, where each possible variant within a given polymorphism was coded separately.

IVs are designed to deal with problems of endogeneity (the explanatory predictor is correlated with the error term, leading to threats to causality due to missing variables, reverse causality etc).

Multiple regression analyses were conducted, using the profile variables as explanatory (predictor) variables, on Overall performance and on each of the Section scores using an alpha level of 5% where relevant.

We reviewed twenty-four published manuscripts that used generalized linear models to statistically determine the influence that numerous explanatory predictors have on the location of WVCs.

We then linked sage-grouse resource selection to individual nest (n = 95) and brood (n = 56) success by incorporating random-slope Resource Selection Functions as explanatory predictors in a logistic brood success model.

Within this range, models with explanatory predictors are given special attention in this book, but we also discuss descriptive models.

The current study describes the health-related QoL of Saudi adults with SCD, and examines explanatory predictors that might be associated with poorer QoL.

Often, overdispersion is caused by an excess variation between response probabilities or counts, possibly originating from omitting important explanatory predictors [ 13].

#McKelvey-Zavoina pseudo R2 see [ 42] *Models shown exclude tested explanatory predictors with significance level p > = 0.10 Total number of worries and number of friends were both found to be effect modifiers for the association between self-reported racism and overall mental health in the final model.

The BIC was used as the metric of model performance because it does not assume that a relationship between explanatory and predictor values exists and has a larger penalty with larger data sets [75].

Its application is also suitable for count data designed to estimate rate of occurrence using counts, exposures and a set of explanatory or predictor variables.