Sentence examples for multivariate analysis subjects from inspiring English sources

Exact(3)

Three groups were formed for multivariate analysis: subjects with 'high' (more than 4 h/week), 'moderate' (0 4 h/week) and 'no' physical exercise.

On multivariate analysis subjects who were HIV negative were more likely to have a positive TST, QFT and TSPOT, when controlling for age and gender.

For Kaplan Meier and multivariate analysis, subjects were dichotomised according to the median expression levels of DDR1 (median=32.6); low DDR1 expressors are defined as patients with expression levels below the median, whereas high DDR1 expressors are those with expression values above the median.

Similar(57)

In multivariate analysis, older subjects had significantly increased levels of D-dimer (p<0.001) and TAT (p = 0.01) and significantly decreased levels of PAI-1 (p = 0.002), AT (p<0.001), F-IX (p<0.001).

We also restricted the multivariate analysis to subjects who reported no current smoking.

As shown in table 2, in multivariate adjusted analysis, subjects with the MetS had a significant increased risk of total CHD HRR: 1.78; 95% CI 1.39 to 2.28), fatal CHD HRR: 2.40; 95% CI 1.41 to 4.09) and non-fatal CHD events (HR: 1.64; 95% CI 1.24 to 2.17).

Variables in multivariate analysis were subjected to the forced entry procedure, with stepwise and backward elimination, using P values of 0.1 as criteria for inclusion and elimination of risk variables based on best subset logistic regression with Chi-square score fit criteria.

In contrast, Park et al. [29] showed that the presence of RLs is an independent predictor for the prevalence of small, but not medium or large, WMLs based on multivariate analysis of 425 subjects (242 patients with migraine and 183 patients with tension-type headache).

Multivariate analysis omitting these subjects, however, produced similar results.

Multivariate analysis showed that subjects carrying the CC genotype were at slightly increased risk for NPC ORR = 1.55, 95% CI = 1.05 2.27) compared to subjects carrying at least one variant T allele, suggesting that the C allele could be the risk allele.

In multivariate analysis (Table  3), subjects with histologically confirmed GCA had a 56-fold higher likelihood of having HPV positivity adjusted by gender, age and race (OR, point estimate 56.01; 95% CI 3.5-895.68).

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