Sentence examples for level of the predictor from inspiring English sources

A significant coefficient for the term "Intercept regressed on predictor" indicates that the baseline (Physical or Mental) HRQoL varies according to the level of the predictor.

A positive coefficient – "direct association" - indicates that as the level of the predictor increases, the outcome increases after controlling for all other significant features.

The exponentiated model coefficients represent the proportional change in the arithmetic mean associated with each level of the predictor, relative to a referent level, adjusting for the other predictors in the model.

We present the exponentiated model coefficients, which can be interpreted as the proportional change in the arithmetic mean associated with each level of the predictor, relative to a referent level, after adjusting for the other predictors in the model.

The results from this initial screening are then used to train a conformal predictor and different confidence levels of the predictor are then evaluated using the internal validation procedure and the defined gain-cost function.

A significant coefficient for the term "Slope regressed on predictor" indicates that the change over time in HRQoL varies according to the levels of the predictor.

To visualize significant interaction effects, we used model-based estimated marginal means at low (−1 SD), average (0 SD), and high (+1 SD) levels of the predictor [ 46].

While the ROC curve assess the overall performance of the model, the prediction curves in Fig. 1 give the magnitude of the probability of death given various levels of the predictor variables.

Predictors with significant interactions with time were dichotomized around their mean level (high/low), and paired sample t-tests were also conducted to evaluate changes from baseline to the 12-month follow up for subjects with high and low levels of the predictor.

This MANOVA used ZOI diameter across all antibiotics as a response variable, and a concatenated variable of biofilm identity and time as predictor variable (the 10 levels of the predictor variable were then: ancestral line at 0 days, Biofilm replicate 1 at 15, 30, and 60 days, Biofilm replicate 2 at 15, 30, and 60 days, and biofilm replicate 3 at 15, 30, and 60 days).

To further understand the accurate levels of the predictors for predicting ARDS, we used stratified analysis for each index.