Sentence examples for multivariate analysis corrected from inspiring English sources

Exact(2)

Further, studies that showed null or diminished effect after multivariate analysis corrected for significantly more confounders (7.7±3.4) as compared with those that found no change following adjustment (5.6±4.5, p=0.04).

Multivariate analysis (corrected for baseline value and age) of the influence of gender, response to treatment and kind of therapy on the mean difference between baseline and follow up (course of Health Related Quality of Life) of the different dimensions of the SF-36.

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Two studies performed a multivariate analysis correcting for various sociodemographic, clinical, therapeutic, and diagnostic factors.

However, in the multivariate analysis correcting for covariates, this association did not remain statistically significant.

In line with this possibility, we found that CysC levels and change in CysC levels during 2 weeks of treatment remained prognostic even after multivariate analysis correcting for creatinine levels and creatinine eGFR (supplementary table 2), suggesting that conditions that increase production of CysC may correlate with IE prognosis.

Multivariate analysis correcting for the confounding variable histological grading revealed CD44v6 not to be a prognostic factor in endometrial cancer (log-rank test, P = 0.06).

According to the multivariate analysis, correct recommendation on folic acid supplementation was found more frequently in searches performed by health professionals compared with women (Table  3).

After multivariate analysis correcting for severity of illness (Acute Physiology and Acute Chronic Health Evaluation II score and Sequential Organ Failure Assessment score), mortality remained higher in RRT patients.

Note: *p < 0.05, **p < 0.01, ***p <0.001; aoneway anova test; bfrom multivariate regression analysis corrected for CarerQol-7D; ccontinuous variable, missings not included; dcategorical variable; ecaregivers of non-institutionalized care recipients only, n = 1062.

A multivariate regression analysis corrected for semiquantitative data was performed to investigate the determinants of aneuploidy, expressed as the proportion of euploid oocytes over the number of diagnosed oocytes.

Cox proportional multivariate regression analysis, corrected for age, sex, deprivation and tumour site, as well as area under ROC curve, were used to determine the relationship between optimal NLR and dNLR thresholds, and survival in patients with advanced (Dukes C and D) colorectal cancer (Table 3).

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