Sentence examples for multivariate analyses age from inspiring English sources

In multivariate analyses age, stage and tumour type maintained significance.

In multivariate analyses age was dichotomized (< 65, ≥ 65 years).

For the multivariate analyses, age and gender (where appropriate) was included in all models a priori.

In multivariate analyses, age, gestational age, parity, and history of UTI in index pregnancy were not associated with bacteriuria.

In univariate and multivariate analyses, age, low BMD and λ light chain isotype were associated with a significantly increased risk of vertebral fracture (Table 3).

In the multivariate analyses, age was positively associated with leg pain probably reflecting the age-association with degenerative manifestations also demonstrated in other studies [ 27].

The significant factors were listed in Table 4 on multivariate analyses with age (⩾43 vs <43 years), T category (T3 4 vs T1 2), CRT (yes vs no) and N category (N2 3 vs N0 1) as covariates.

In multivariate analyses, older age at seroconversion and lower initial mIAA levels independently predicted slower progression to diabetes.

Multivariate analyses including age, gender, smoking, cholesterol level, known CAD, EF, hypertension or diabetes were performed for biomarkers with significant outcome in the univariate analyses.

In the multivariate analyses, however, age was dichotomized (< 65 and ≥ 65) based on preliminary analyses.

Multivariate analyses included age, tumour stage, hormonal receptors and microRNA levels.