Sentence examples for multivariate model revealed from inspiring English sources

The multivariate model revealed no significant sex-linked effects on the expression of candidate genes tested.

In this study, the multivariate model revealed that several factors were significantly related to baseline, preseason symptom reporting.

Stepwise multivariate model revealed that myocardial infarction etiology, vasoactive-inotropic score before Impella implantation and SAPS II score were independent risk factors for the day-28 mortality.

The multivariate model revealed that RHT was strongly associated with standard testing in the past 6 months, indicating that a person tested by one method is likely to also be tested by another method.

The final multivariate model revealed that only carer chance was a significant predictor of CBI total score, and explained 32% (R 2  = 0.32) of the variance in CBI score, F change 5.48 (1-46), p = 0.02.

For recommended or adequate treatment (Table 2, columns 5-6), the multivariate model revealed that the only statistically significant associations were with increasing number of supervisory visits and increasing number of IMCI classifications.

Although the design of ACHS-II does not enable quantitative assessment of the contributions of previously known determinants of TMAO variability to this relationship, limited multivariate modeling revealed that total dioxins TEQ was significantly associated with TMAO among females (except at high BMIs) but not among males.

Further, multivariate models revealed that even after controlling for other factors including the stress impact of the Pulse shooting, the odds of using alcohol to cope with this event were 15 times greater among participants who held the perception that LGB peers likely used alcohol to cope relative to those who did not share this perception.

Multivariate modelling revealed antidepressant use (current) as an effect modifier (p < .001 for the interaction term).

The multivariate models revealed no association between RA and any measure of protein or iron intake.

Multivariate models revealed that the differences were evident when a range of patient characteristics were controlled for including cancer stage.