Very importantly, most of the published data did not undergo adjustment for multiple independent predictors, thus interpretation and comparison with our results is difficult.
For the categorical predictors the interpretation is essentially the same, except that the HR represents the difference in the risk of mortality compared to the reference group.
Although the same notation for the regression coefficients is used for the various change point predictors, the interpretation of the coefficients varies across the models.
These findings emphasize that substantial improvement in EB map accuracy is possible with a limited number of predictor variables, and interpretation of such maps is improved where the relationships between specific predictor variables and predicted classes can be observed and evaluated.
Because other obesity care is essentially a proxy for our outcome, including it as a predictor substantially changes the interpretation of the other predictors.
However, to minimize the number of highly-correlated predictors and aid in interpretation of model results, we reduced slightly the number of variables within each set of predictors (climate, landscape, landscape soil, local soil, and topographic), using Pearson correlation statistics and principal component analysis.
The education and occupation (student) predictors involve more complicated interpretations which require further research.
The GBM algorithm created a nonlinear relationship, which is necessary for nonlinear geological systems, between the core permeability given the predictors of well log interpretations and lithofacies.
The Lasso method allows for easy interpretation of predictor selection but is robust where independent variables exhibit multicollinearity [29]; the two independent variables were significantly correlated (Spearman's ρ = 0.51, p = 0.009).
The TELECHIK cohort study provides valuable clues in the field of rheumatology by contributing to strengthen the recognition and interpretation of the predictors of CHIK-R.
