Sentence examples for multivariate model or from inspiring English sources

IDA was independently associated with migraine in multivariate model (OR: 1.88; CI 95% 1.01-3.50, P = 0.04).

This relationship remained significant in a multivariate model (OR = 3.6, p < 0.001) with age, weight, gender, fighter protection use, fighter status (amateur or pro), and previous reported injury.

The presence of diabetes was associated with decreased mortality in the multivariate model (OR 0.64, P <0.001).

Ct, cycle threshold; ICU, intensive care unit; MERS-CoV, Middle East respiratory syndrome coronavirus; NA, not included in multivariate model; OR, odds ratio.

Among vaccinated children aged <9 years, only kitchen smoke exposure was a risk factor for SBAref < 1024 in the final multivariate model (OR, 2.61 [95% CI, 1.30 5.23]).

25(OH D deficiency was significantly associated with an impaired eGFR in the univariate model (OR 1.52, 95% CI 1.07-2.17), but not in the multivariate model (OR 0.95, 95% CI 0.67-1.35).

Individuals in the highest, compared with those in the lowest, quartile of processed meat intake had an increased risk of bladder cancer in multivariate models (OR: 1.28; 95% CI: 1.00 1.65; PTable=0.035; Table 2); the association was slightly stronger for processed red meat specifically (OR: 1.41; 95% CI: 1.08 1.84; Ptrend=0.024).

Exposure to chronic depression was also associated with decreased risk for overweight in bivariate (OR 0.29, 95%CI 0.09 0.98) and multivariate models (OR 0.28, 95%CI 0.03 0.92) in comparison with children not exposed to maternal depressive symptoms or those exposed episodically (Table 7 8).

Consumption of individual beverages other than water, including coffee, beer, and wine, was not related to risk of bladder cancer in multivariate models (OR for highest vs. lowest category of beverage intake ranged between 0.97 and 1.17).

Mean HbA1c remained significant in all multivariate models (OR 2.18 [1.26–3.77], p = 0.005; OR 1.98 [1.13–3.46], p = 0.033; OR 1.07 [1.01–1.13], p = 0.033 for each multivariate model including MAGE, SD, CV as a covariate, respectively).> -wrap-foot> Model 1 was adjusted for age, sex and duration of diabetes.

Since the sample size for this feasibility study was small we did not have sufficient statistical power to conduct multivariate modeling or stratified analyses.