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1 Results: Three risk factors for preterm delivery were identified from univariate analysis .
2 Measures of central tendency and frequency distributions were used for univariate analysis .
3 Multivariate Cox-regression analysis was used to assess significant factors on univariate analysis .
4 On univariate analysis , grade and margin status were predictors for local control.
5 High TAM density was significantly associated with reduced survival in univariate analysis .
6 In univariate analysis it was strongly associated with socio-demographic and clinical variables.
7 On univariate analysis patients with clear cell histology had a worse clinical outcome.
8 Feature selection for univariate analysis was carried out via correlation analysis.
9 An univariate analysis was performed to compare both groups for the main outcomes.
10 Pretreatment serum levels of each marker showed prognostic value in the univariate analysis .
11 At univariate analysis , nonsurvivors were statistically more likely to be affected with cirrhosis.
12 The data was studied by univariate analysis , multivariate analysis and moderated mediation analysis.
13 Data were assessed according to quartiles of serum bicarbonate and by univariate analysis .
14 Such correlation is typically not included in the output from univariate analysis methods.
15 Statistical analysis employed univariate analysis and a multivariate logistic regression model.
16 Primary tumor diameter was associated with local recurrence in univariate analysis .
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This collocation consists of: Univariate analysis through the time
Univariate analysis across language varieties