Sentence examples for multivariate models demonstrated from inspiring English sources
Multivariate models demonstrated that the milpa edge indicator was the most important variable in explaining differences of vegetation indices for milpa edges and background forest compared with other factors that create edges in the landscape.
An analysis of refitted multivariate models demonstrated a marked improvement in the discriminative power of the TIMI UA/NSTEMI model with the incorporation of heart failure and hemodynamic variables.
Multivariate models demonstrated a negative association between low reward and BMI among women.
Among men, multivariate models demonstrated positive associations between high effort, high psychological demand, long working hours and BMI and a negative association between high physical demand and BMI.
The Hosmer-Lemeshow test showed that the multivariate models demonstrated a good fit (p = 0.297), and there was no evidence for collinearity among the independent variables.
The addition of the VEGFA-smoking interaction term into the above multivariate models demonstrated independent associations of both gene-smoking interaction combinations with IHD and MI (Table S2 of Additional file 3).
The two multivariate models demonstrate the relationship between year of diagnosis and effect of surgical staging with lymphadenectomy.
Fully controlled multivariate models demonstrate a strong association between low duration of father's employment at a study sawmill and attempted suicide for male children.
Three health domains of the CHQ showing statistically significant gender differences in the multivariate models demonstrate an effect size that is moderately clinically important between males and females: the global health, mental health and general health perception scales.
Fully controlled multivariate models demonstrate that elevated odds for attempted suicide among female children is associated with prior mental health diagnosis for their fathers and employment in a sawmill job with low control (Table 5).
The multivariate models demonstrate that in males up to 55% of the variance in vertebral bone mineral parameters acquired using lateral-projection DXA could be accounted for by the combination of age, mass, height and the presence or absence of CLBP.
