Sentence examples for multivariate analysis independent from inspiring English sources
At multivariate analysis, independent predictors of the presence of subclinical hemolysis were mitral valve replacement (P <.001), use of a mechanical prosthesis (P =.002), and double valve replacement (P =.02).
Standard qualitative methods were used to code focus-group texts and identify convergent themes.In multivariate analysis, independent factors associated with computer use were English versus Spanish language (odds ratio: 3.2 [95% confidence interval: 1.4-6.9]) and education through at least high school (odds ratio: 4.7 [95% confidence interval: 2.3-9.7]).
By multivariate analysis, independent factors of adequate antibiotic treatment were septic shock (OR, 0.38 + 95% CI 0.15 0.96) and febrile neutropenia > 7 days (OR, 0.42 + 95% CI 0.20 0.88) at ICU admission.
In multivariate analysis, independent predictors of SSI included obesity (odds ratio (OR)=1.77, 95% confidence interval (CI =1.34-2.32), chronic obstructive pulmonary disease (COPD) (OR=1.66, 95% CI=1.17-2.34), and a wound class classified as contaminated or dirty (OR=1.65, 95% CI=1.01-2.72).
In the multivariate analysis, independent predictors of retention were living away from the family (p = 0.04), being employed (p = 0.003) and habit of alcohol consumption (p<0.001).
In multivariate analysis, independent prognostic factors were determined by the Cox proportional hazards model.
In the multivariate analysis, 3 independent factors were found to significantly influence cause-specific survival.
The low numbers of documented Wells scores made the multivariate analysis of independent predictors of diagnostic yield of CTPA that included this parameter difficult to interpret.
In multivariate analysis, significant independent predictors of reduced RDI included: advanced age, greater BSA, comorbidities, anthracycline-based regimens, a 28-day schedule and FN, while primary G-CSF prophylaxis was associated with a significant reduction in risk.
Multivariate analysis compared independent effects of clinical, virological and immunological variables upon disease severity.
The multivariate analysis of independent prognostic factors for CCRT response was determined using logistic regression analysis.
