Sentence examples for multivariate models revealed from inspiring English sources

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

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

Multivariate models revealed that the amount of times exposed to videogames and computer were related to the TV viewing with both that increase as TV view increases.

The application of multivariate models revealed that SENP1 largely lacked independent prognostic value if all tumors and the classical molecular subgroups of ERG positive and ERG negative cancers were analyzed.

Multivariate models revealed that women who experienced intimate partner abuse whether before or during pregnancy reported higher levels of postpartum mental health problems; however, associations differed as a function of the timing and type of abuse, as well as specific mental health symptoms.

The multivariate models reveals factors that predict the behavioural outcome in the whole population, while the CT help detecting segments in the population that have specific prevention needs.

Multivariate modeling revealed higher precipitation (0.019 average increase in surgeries per 1000 persons per inch, p<0.01) and higher mean temperature (0.029 average increase in surgeries per 1000 persons per degree, p<0.01) were both independently associated with an increased operative stone disease burden.

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.

Multivariate modeling revealed that SLSC imaging is a significant predictor of improved image quality with p ≤ 0.002.

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