Sentence examples for multivariate regressions indicate from inspiring English sources

Results from multivariate regressions indicate that Hispanics are at 27% lower risk for ICU stay compared to Whites (OR=0.73, p<0.001 data not shown).

Multivariate regression indicated that baseline and current physical health were associated with work-related outcomes at follow up.

In our study, multivariate regression indicated the following clinical and laboratory characteristics upon admission were independently associated with the development of severe dengue: (1) age >40 years, (2) persistent vomiting, (3) absolute atypical lymphocyte >300 cells per μL, and (4) lactate level ≥2.0 mmol/L.

Multivariate logistic regressions indicate that patients diagnosed in 2000 had significantly greater odds of 5-year survival than those diagnosed in 1992 (OR: 1.35 for CC, 1.38 for RC).

Multivariate linear regressions indicate that children living with HIV/AIDS-infected caregivers reported significantly lower levels of social support compared with AIDS-orphaned children, other-orphaned children and non-orphaned children independent of socio-demographic covariates.

The r values in the multivariate linear regression indicate how much of the variability in CRP values is explained by the factors included.

Results from multivariate logistic regression indicate that the odds of misdiagnosis by local microscopy for those > 5 years as compared to those ≤ 5 years were 0.370 955% CI = 0.1733-0.7915, p = 0.010).

The multivariate regression results indicate that this shape feature is correlated with mean size differences (evolutionary allometry) and the first diet PC.

Our multivariate regression analyses indicate that valsartan/hydrochlorothiazide treatment and the change in BDNF levels represent independent risk factors for reduced eGFR (Table 2).

The results of the multivariate regression analysis indicate that the first variable in the model was CCL, with an adjusted R of 0.625 for the tensile group and 0.689 for the bending group (Table 1).

Multivariate logistic regression indicated that disorders due to psychoactive substances, either as a primary diagnosis or as a comorbid condition, were significantly associated with smoking, in addition to significant effects of age group, financial resources and history of suicide attempts.