Sentence examples for multivariate analysis so from inspiring English sources

Sample size limitations prevented detailed multivariate analysis, so that other important sources of heterogeneity may have become apparent if appropriate adjustment for confounding had been possible.

We used the chi-square test or Student t test as needed and binary logistic regression for multivariate analysis so we can rule out possible confounding variables.

In both regions, the associations of parity and maternal age were stronger in the multivariate analysis, so an age-parity interaction term was included.

Secondly, almost half the papers did not involve a multivariate analysis, so that factors independently associated with admission when others are adjusted for could not be identified [ 12, 13, 15- 17].

A patent ductus arterious (PDA) was associated with CHI in a previous multivariate analysis, so the identification of PDA on echocardiogram and management measures such as indomethacin prophylaxis and treatment and ibuprofen administration, and the need for surgical intervention to close a PDA was noted from the medical record [ 4].

E-Cadherin promoter methylation was prevalent in the right colon (univariate analysis P=0.011; multivariate analysis P=0.007), so that coincidental K-Ras mutations and E-Cadherin methylation frequently occurred in proximal (27%) rather than left colon (5%) and rectum (8%) (P<0.001).

However, the prognostic significance of growth factors expressed in OA has only been investigated in relatively small patient cohorts and no significance in multivariate analysis was demonstrated so far.

*Unadjusted OR and 99% CI from bivariate analysis not significant so multivariate analysis not undertaken Figures in bold type indicate a significant difference that remained after multivariate analysis Focus group participants were not surprised by the results from the surveys.

*Unadjusted OR and 99% CI from bivariate analysis not significant so multivariate analysis not undertaken Figures in bold type indicate a significant difference that remained after multivariate analysis Although the satisfaction of outpatients appeared slightly higher in 2003 than in 2000 (Table 4), for most aspects of satisfaction the changes over time were not statistically significant.

*Unadjusted OR and 99% CI from bivariate analysis not significant so multivariate analysis not undertaken Figures in bold type indicate a significant difference that remained after multivariate analysis Using the same direct observation protocol, field teams recorded improvement in general cleanliness in all the hospitals in 2003 compared with 2000.

Correlations were calculated with Spearman rank R. The remaining factors (P < 0.05) in the univariate analysis were entered into a multivariate linear regression model, so multivariate analysis were secondly performed to analyze significant determinants associated with SQOL disturbance using the SQOL score as dependent factors.