Sentence examples for predictors change from inspiring English sources

The fact that the significant interactions are only with the binary indicator of any past hospitalization and not the log of the number of past hospitalizations reveals that although the effects of some predictors change substantially after first reentry to the nursing home from hospital, there is little additional modification thereafter.

Our models contained the following predictors: change in maternal mass between clutch 1 and 2 (the strongest predictor of primary sex ratio) and maternal mass at oviposition during clutch 2, since the mass of reproductive organs might be related to the actual body mass of the individual.

First, on the predictors: changes in the technology of media and the status of celebrity are steadily driving forecasters further from accuracy, even as technology increases our assumption that accuracy should be possible.

For models with eleven variables the order of importance of the predictors changed, on average, in the 96.5% of the times (SE = 2.53, range = 89 100) and in the 100% (SE = 0) with twelve variables.

If the effect estimates for any of the primary predictors changed by 10% or more after adding another variable to the regression model, the latter was determined to be a confounder and included in the final model.

A χ test was used to identify which independent predictor changed with time.

Regression coefficients are interpreted to be the average change in outcome when a predictor changes by one unit, all other predictors remaining the same.

If the re-inclusion of an excluded predictor changed the odds ratios of the retained predictors by more than 20%, the excluded predictor was returned to the final multiple model to neutralize the effect of indirect connections.

Two types of longitudinal associations were included: predictors of change and correlated changes between the exposure and outcome.

Poisson regression analysis was used to examine the predictors of change in meniscal tears and the association between change in meniscal tears and change in meniscal extrusion.

Changes in self-efficacy were modeled using Hierarchical Linear Modeling, and potential predictors of change were assessed.