Sentence examples for multivariate adjustment and from inspiring English sources

All data were extracted from studies, including crude outcome data and adjusted analyses, comprising multivariate adjustment and propensity matched data, where available.

Combining the multivariate adjustment and the propensity score yielded an adjusted relative risk of 1.97 (95% confidence interval 1.21 to 3.20).

Trouser/skirt size, modeled per 2 unit size increase, was associated with both CIMP (HR: 1.20, 95%CI: 1.05 1.37) and non-CIMP tumors (HR: 1.14, 95% CI: 1.05 1.24) after multivariate adjustment, and these associations remained even when models were mutually adjusted for BMI.

These protective effects attenuated substantially after multivariate adjustment and when we excluded multiple observations for each individual, declined over time, differed across propensity score quintiles and risk groups, and were unchanged during post-influenza season periods.

However, after multivariate adjustment and subgroup specific analyses, the treatment effect remained, suggesting that these differences may not have a major effect.

By contrast, higher adipose tissue EPA levels were associated with greater prevalence of metabolic syndrome in the "Basic" model [1.62 (1.30, 2.03)], but this association was attenuated after multivariate adjustment and disappeared with adjustment for BMI [1.15 (0.92, 1.43)].

The current analysis is essentially a retrospective analysis of prospectively collected data and, despite multivariate adjustments and propensity matching, residual confounding can never be fully eliminated.

Adjusted and unadjusted analyses were considered separately, as well as exploration of the impact of different components of multivariate adjustment (age and sex, disease severity, disease duration, comorbidity, and other RA therapies).

Common areas of weakness were failure to perform subgroup analysis for AC and SCC; failure of quality control such as reporting call rates and Hardy Weinberg equilibrium; failure to perform/report multivariate adjustment of HRs; and failure to adjust for multiple comparisons.

A logistic model was used to assess the association of subclinical hyperthyroidism with dementia, Alzheimer's disease and vascular dementia crude, adjusted by age, with a multivariate adjustment for age and BMI.

Tellez-Plaza et al. (2008) used a dichotomous measure of UCd obtained from spot urine samples, compared the 90th and 10th percentiles, and used multivariate adjustment to statistically adjust for urine creatinine; in contrast, Kurihara et al. (2004) used an 84% cutoff (4.5 μg/g for men and 6.72 μg/g for women) and directly adjusted UCd for urine creatinine.