Using a bivariate probit model, we find that exposure to severe food insecurity risk increases the propensity to insure against health risks, and this propensity is increasing in background risk intensity.
Using a bivariate Tobit model, we find health insurance coverage has a highly significant and positive impact on the off-farm labor supply of operators and spouses.
In bivariate analysis, we found that interior renovation was associated with higher B-Pb (p = 0.02).
On bivariate analyses, we found an increasing burden of peripherally acting antiadrenergic agents (e.g. alpha blockers) across MOH groups.
Also, Mark et al.'s [ 14] bivariate model found that the more schizophrenia patients doctors were treating, the earlier they adopted atypical medication the variable became an insignificant determinant of new drug uptake only in the multivariate analysis.
Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated.
We found significant bivariate associations between FGM/C and all the covariates considered (p < 0.001).
We found no statistical significant interactions, bivariate correlations or violations of the proportionality assumption.
In bivariate statistical models, considering the statuses of advanced disease, metastasis, and tumor grade as covariates, we found in each case that GATA5 expression was not associated with RFS while mRNA levels were detected as a significant parameter in bivariate Cox regression models including the statuses of lymph node metastasis, age and gender (Table 3).
