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Non-verbal IQ measures were non-significant predictors in the above model and the model was highly specific to predicting mathematical performance.
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Replacing OSA with AHI as a marker of OSA severity in the above model demonstrated that baseline AHI was an independent predictor of study-end eGFR (B = −4.6, P = 0.02).
In all four of the above models, perceived female economic dependence continued to explain significant variance in wrongness of promiscuity, after income or income ratio had been added as a predictor.
In order to assess the robustness of models and predictors, bootstrap and permutation analyses were run with 100,000 permutations for some of the above models (see results in Figure 3).
*Significant predictors in the full model.
Additionally, all the two-way interactions between the predictors in the new prediction model were tested.
In addition, some aspects of information sharing might be covered by other predictors in the model.
The predictors in the model were similar to that of the logistic regression analysis.
Both variables remained significant predictors in the multivariable PH model.
Based on the above and in the interest of model parsimony, we excluded predictors (e.g., physician extenders) from our final model with p-values in excess of the removal threshold (p>.0005), although this did not qualitatively change our findings in regard to the remaining predictors in the model.
Rainfall and air temperature are considered as additional predictors in the proposed modeling framework.
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