Sentence examples for multivariable modeling revealed from inspiring English sources
Multivariable modeling revealed that implementation of PDMPs was associated with an 11% increase in drug overdose mortality (aRR = 1.11; 95% CI: 1.02 1.21), with the greatest increase observed in PDMPs that imposed no expectation on practitioners (aRR = 1.17; 95% CI: 1.02 1.34; Table 1).
Multivariable modeling revealed that mode and duration of mechanical ventilation, the norepinephrine dose, and HBE had statistically significant influences.
The multivariable model revealed no statistically significant IRR for the subgroup of women who had used only OC or MHT.
A multivariable model revealed that the effects of age and GDM status remained significant after additional adjustment for time after index pregnancy.
The final multivariable model revealed the overall associations of factors measured at any particular event with the risk of a subsequent suspected NAT event, after adjustment for other measured risk factors.
When evaluated with debulking status and response to primary platinum-based therapy, grade, and age, the Cox proportional hazards multivariable model revealed that the Transcription/CREB pathway gene expression signature score was an independent variable associated with survival (P=0.01).
Our final multivariable models revealed that after controlling for the aforementioned potential confounders, there was no significant difference in mean BMC between ASD cases and TD controls (11.5 μg/L for ASD cases and 11.9 μg/L for TD controls; P = 0.48).
Univariable and multivariable logistic modeling revealed a statistically significant increase in patients experiencing clinical benefit (PR+SD+MR) in the chemo/immuno-naïve population (p values = 0.011 and 0.017, respectively).
Multivariable adjusted modeling revealed an independent association between changes in carbohydrate intake and A1C in the intervention group (n = 56; β = 0.10, SEM = 0.033, P = 0.004).
The results from the multivariable logistic regression modeling revealed that independent predictors of intendions to have children for HIV-positive women of reproductive age living in Ontario, Canada were age, ethnic background, living in Toronto and number of lifetime births (Table 3).
Our multivariable regression models revealed relations between BMI and mortality that were very similar to those of the univariate regression analyses (see Table 5).
