Sentence examples for multivariate adjustment no from inspiring English sources

Exact(1)

After multivariate adjustment, no consistent, stable positive associations were observed between the two metrics of oil production and exploration activities and site-specific cancer mortality rates (Table  3).

Similar(59)

After multivariate adjustment, there was no significant association between baseline 25-hydroxyvitamin D serum levels and incident AF (hazard ratio 0.92 for lowest subgroup vs highest subgroup, 95% CI 0.66-1.28).We present the first analysis of a large randomized trial of daily vitamin D supplementation for AF prevention.

After multivariate adjustment, we observed no significant associations between any semen parameter and urinary BPA concentration.

After multivariate adjustment we observed no improvement in MACE or survival and an increased risk of major bleeding.

ICU patients in HighABR countries were sicker and had longer ICU and hospital stays and higher crude ICU and hospital mortality rates, which could have a marked economical impact; however, after multivariate adjustment there were no differences in ICU or hospital mortality rates between the two groups of patients.

However, after multivariate adjustment, this association was no longer significant, with a multivariate adjusted HR of 1.11 (95% CI 0.87 1.41).

Otherwise, studies tend to get published because of their novelty despite low numbers, poorly matched cases and controls and no multivariate adjustment for conventional risk factors.

In that study, each standard deviation above baseline NT-proBNP predicted a 48%% increased risk of dementia during 14-year follow-up after multivariate adjustment in men, but no such association was found in women.

In the ALLHAT (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial) study, other than adjustment for chlorthalidone and increased risk of diabetes after 2 and 4 years (14), no multivariate adjustment comparable with that used in the model of the present study was attempted to verify whether this effect was independent of confounders.

Further multivariate adjustment or adjustment for family history provided no additional attenuation (Table 2).

Other factors found to be significant in the univariate comparisons (gender, age, educational level, and perceived health status) were no longer significant after multivariate adjustment (Table 3 ).

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