Sentence examples for multivariate analyses patients from inspiring English sources

Exact(6)

In multivariate analyses, patients with PWMHs were 1.06 times more likely to report fewer depressive symptoms than patients without PWMHs.

In the descriptive and multivariate analyses, patients were stratified by age 0 59 years or 60 years and older.

Interestingly, in our multivariate analyses, patients with negative node status, TMN stage IVa disease, and negative OPN expressions were also found to have a good response to treatment.

For multivariate analyses patients with tumour size pT3 and pT4 were grouped together, as well as nodal status N1 and N2.

In the multivariate analyses, patients using a protease inhibitor (PI -boosted regimen were less likely to achieve an SVR comPI -boostedtients using a non-nucleoside regimen-transcriptase inhibitor (NNRTI)-based regimen (OR: 0.61, 95 % CI: 0.41–0.91).

From the results of multivariate analyses, patients from the worst deprivation group were significantly more likely to have a relapse and die from breast cancer, even after adjusting for other associated variables.

Similar(54)

On univariate and multivariate analyses, patient physiology, as assessed by the POSSUM Physiology Score and Dukes stage were independent predictors of cancer-specific and recurrence-free survival.

In univariate and multivariate analyses, patient age at the time of DSEK was a significant risk factor for subsequent cataract formation and extraction.

In multivariate analyses, patient-to-patient variability in haemoglobin increase through week 12 remained largely unexplained, but the strongest association was with a fall in haptoglobin (multiple r = 0.29; P <0.0033) (Table  1).

In multivariate analyses, patient-reported worst joint pain score of 4 or greater on the Brief Pain Inventory (BPI) (Hazard Ratio [HR] 2.09, 95% Confidence Interval [CI] 1.14-3.80, P = 0.016) and prior use of tamoxifen (HR 2.01, 95% CI 1.09-3.70, P = 0.026) were significant predictors of premature discontinuation of AIs.

The variables included in multivariate analyses were patients' age, patient gender, dialysis duration, pre- and posttransplant PRA level, number of HLA mismatch, cold and warm ischemic time, C4dPTC, C3dPTC, and histological parameters.

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