This paper contributes to the literature by documenting the improved performance of bankruptcy prediction models after including corporate governance variables.
Because BMI is not captured in most administrative data sources, we re-fit all models after including all patients regardless of BMI.
Variables significant at the 0.10 level were assessed in multivariate linear regression models, after including age, sex, mother's education, and standard of living index in the base model.
First, we reran the models after including six census-derived contextual (neighborhood) variables including income (median household income), income inequality (percent below poverty level), education (percent with college degree), population size, racial composition (percent white, percent black, percent Hispanic), and unemployment (percent unemployed).
Similarly, a subcell employing the high-bandgap polymer, poly 3-hexylthiophene) (poly 3-hexylthiopheneter including either P3HTBM or PC71BM components.
Adding prevalence to the model after including severity and genetic index, accounted for a further 24.3% of the variance, change in fit: F (1,31) = 33.24, p<.001, bring the multiple R up to.879.
The final model after including all significant foods is shown in Table 3 > -wrap-foot>.
Age, BMI, TUG, PA, hypertension, coffee consumption, and smoking were included in the analysis to form the best model, The best model after including VLF in the analysis, *p-value for the full model.
Others have shown that total health expenditures is a significant predictor of IMR in their bivariate analysis, however, this is no longer significant in the multivariate model, after including Gross National Income per capita [ 11].
The emergence of parental divorce in Model II, after including 207 cases excluded from Model I due to missing parental socio-economic data, can be placed alongside the statistical significance of parental death in Model I, and its near significance in Model II.
Model (1), however, shows all effects from the JPI on the total sample as not significant, so the significant effect in the mean-based overeducation model appeared only after including other explanatory variables.
