Sentence examples for multivariate model significant from inspiring English sources

Analyzing leptin as dependent variable in a multivariate model, significant correlation was maintained only between leptin and metastasis (β = 0.40; p <0.001).

When body weight and alcohol were included in a multivariate model, significant associations with blood lead were still present for osteocalcin, bALP, U-DPD, and urinary calcium (all p-values ≤ 0.037).

In the multivariate model, significant and nonsignificant inverse associations for total ethanol, strong beer, white wine, and red wine were observed in both men and women, but were less apparent in women (data not shown).

# multivariate model significant (p < 0.05) ^adjusted for physical activity also PA postero-anterior BMC bone mineral content aBMD areal bone mineral density ap.vBMD apparent volumetric bone mineral density Separate models were run for males (n = 28) and females (n = 43).

In multivariate models, significant interaction effects suggest that the parent child association in diet was weaker for fat intake among parents with higher educational attainment (b= .31; P<0.05) and for snacking among adolescent boys (b= .30; P<.05).

In multivariate modeling, significant risk factors for death in the previous year from suspected lead poisoning included the age of the child, the mother's work at ore-processing activities, community well as primary water source, and the soil lead concentration in the compound.

In each analysis, variables that were statistically significant at α = 0.05 in univariate comparisons were introduced into a multivariate model; covariates significant at <0.05 were retained in the model.

For the multivariate model, a significant association was observed between malaria positives and ethnicity, forest cover, altitude, floor construction, household density and treatment preference from the malaria control program.

b Final multivariate model including significant variables only.

All patient characteristics retained in the final multivariate model were significant at the 0.05 level.

Variables in the multivariate model remained significant after adjusting for occupation, education and history of chronic diseases.