Sentence examples for multivariable adjustment but from inspiring English sources

In men the positive trend disappeared for all cause deaths after multivariable adjustment, but was still significant for CVD and IHD deaths (P for trend 0.03 and <0.001, respectively).

PAT was associated with LA diameter in women after multivariable adjustment, but the regression coefficient per 1-SD increment of PAT (1.04 mm) was smaller as compared with BMI (1.34 mm, P = 0.001 for difference) or WC (1.34 mm, P = 0.009 for difference).

Against this background, our finding of a nominally increased event risk with no statistical significance after multivariable adjustment appears reasonable, but does not add clarity to the ongoing dispute.

The significant relationship among men remained after multivariable adjustment (0.99 [0.98–0.99]; P = 0.03) but was attenuated after further adjusting for BDI (0.99 [0.98–1.00]; P = 0.10).

Upon multivariable adjustment, estimates were slightly potentiated but qualitatively similar.

In other studies, multivariable adjustment also attenuated the estimates, but to different degrees [ 42, 45- 47].

In the Atherosclerosis Risk in Communities (ARIC) study of middle-aged white and African American adults, diabetes was associated with stroke symptoms in each race-sex group after adjustment for age and study site, but additional multivariable adjustment was not reported and individuals with a prior history of stroke were not excluded (27).

The initial results for headache correspond to the patterns observed for sadness and anxiety (left part of Table 5), but after multivariable adjustment, loneliness (odds ratio, 1.47, 95% CI 1.10 to 1.96) was the only variable that remained statistically significant, suggesting that loneliness is associated with a higher prevalence of headache (right part of Table 5).

After multivariable adjustment, these ORs were still over 1 but the p value were not significant.

We observed significant differences in pulse pressure across quintiles of bone lead but not blood lead after multivariable adjustment.

Furthermore, the prevalence of LVH increased significantly with ascending tertiles of log FGF21 in univariable analyses (Table 2), but this relationship was attenuated after multivariable adjustment.