Sentence examples for multivariate analysis estimated from inspiring English sources

Multivariate analysis estimated that compared with patients who were on warfarin only, patients with a bridging regimen had an 18.2% higher LOS (p = 0.0017, data not shown).

The multivariate analysis estimated the association between outcomes (mortality and any postoperative complication) and BMI controlling for age, diabetes, pathological stage, neoadjuvant therapy, type of surgery, intraoperative blood loss and operative time using Cox Proportional-Hazards Regression modelling.

Further, a multivariate analysis estimates the effect of time on performance outcomes by intervention group status.

In other words, multivariate genetic analysis estimates the extent to which genetic and environmental factors that affect one trait also affect another trait.

For multivariate analysis, we estimated the annual number of primary care and specialty care visits in FY2001-2004 usingeneralizedestimatinging equations (GEEs) with a negative binomial distribution and a log link function.

With a multivariate analysis we estimated how the covariates influenced change in SRH from diagnosis until one year later.

Multivariate unconditional logistic regression analysis estimated that IgG anti-seropositive rates were similar for male and female participants up to age 30 years (odds ration [OR] = 0.9, 95% confidence intervals [CI] = 0.7 1.1) but were ≈2-fold higher for male participants >30 years of age (OR = 2.1, 95% CI = 1.7 2.6).

Log-linear models were utilized for multivariate analysis to estimate risk ratios (RR), since PTLC was not a rare outcome and odds ratios would not accurately estimate risk ratios.

We performed univariate and multivariate analysis to estimate the association between ammonia level, infection or drugs intake and the presence of encephalopathy.

Variables yielding p < 0.2 by univariate analysis and those considered clinically relevant were entered in the multivariate analysis to estimate the independent association of each covariate with the dependent variable.

Multivariate analysis to estimate factors for metachronous GA showed no statistical significance due to small number.