Sentence examples for multivariate analysis years from inspiring English sources

Exact(1)

At the multivariate analysis, years of education was the only significant socio-economic predictor of 6-month exclusive breastfeeding.

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In a multivariate analysis, 20 years or more of practice was associated with increased probability of both recurrent laryngeal nerve palsy (odds ratio 3.06 (1.07 to 8.80), P=0.04) and hypoparathyroidism (7.56 (1.79 to 31.99), P=0.01).

According to the multivariate analysis, major, year of class, place of origin and a mother's education level are significantly associated with health-related knowledge in Chinese vocational college students.

In multivariate analysis, 1 year mortality independent factors were chronic renal insufficiency (OR 3.6 95CI 1.1–12.1–p 0.03) and antibiotics duration (p 0.002).

According to multivariate analysis, only year and HIV status remained statistically significant and were retained in the final model.

In multivariate analysis, 2-year survival was significantly associated with the clinical stage of the disease, baseline hemoglobin, and cotrimoxazole prophylaxis therapy (CPT) at or before ART initiation in both assumptions.

In multivariate analysis, age (<50 years vs >51 years), clinical stage (stage I vs stage II/III/IV), histological grade (grade 1 vs grade 2/3), and TADG-15 expression status (positive vs negative) were selected as covariable.

In multivariate analysis, age (<50 years vs. ≥50 years) and overall stage (III vs. IV) were found to be independent predictors for OS and DFS; furthermore, the overall stage was a significant prognostic factor for DMFS.

In multivariate analysis, age >70 years was the only independent predictive factor that persisted (2.8 [1.01–7.67]; P < 0.05).

In multivariate analysis, age ≤50 years, trauma, and a modified SOFA score ≤4, were identified as significant risk factors.

In multivariate analysis, only fewer years of professional experience remained significantly associated with ability to correctly assess children's weight based on appearance alone (p = 0.015).

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