Sentence examples for multivariate analysis detected from inspiring English sources

Here we note a prevalence of eBP of 22.1 %, slightly and non-significantly higher in males than females (although multivariate analysis detected a weak but significant association of eBP with male gender).

Multivariate analysis detected age and TF expression as significant determinant risk factors for VTE development (P=0.0352, r=0.247 and P=0.0347, r=0.249, respectively).

Multivariate analysis detected a significant relationship among NWI, years in practice (age was eliminated due to its collinearity with the number of years in practice) and the level of evidence-based practice, with an explanatory capacity of 30% (Table 5).

However, unlike the conventional methods, multivariate analysis detected responses to all concentrations of BFA and to all but the lowest concentration of TG. Biochemical assays, in which caspase mediated cleavage and degradation of PARP, were used to assess apoptosis and necrotic cell death, respectively, and to detect only population averages not individual cells.

Multivariate regression analysis detected membranous GN as an independent predictor for progression/persistence of proteinuria (p < 0.01).

After adjustment for relevant potential confounding factors, the multivariate logistic regression analysis detected significant associations (p-value = 0.036 for model 1, p-value = 0.096 for model 2, and p-value = 0.005 for model 3, Table  5).

In LACC patients, the only statistically significant association, confirmed in multivariate analysis, was detected between having children and poor GHS score values (p value=0.053) (data not shown).

However, only multivariate data from community analysis detected differences in the gradient of contamination.

The MIP Monitor combines the detection of intrinsic gamma ray signatures emitted from process solutions with multivariate analysis to detect off-normal conditions in process streams nondestructively and in NRT.

The MIP monitor combines the detection of intrinsic gamma ray signatures emitted from process solutions with multivariate analysis to detect off-normal conditions in process streams nondestructively and in near-real-time.

This study demonstrates that 1H NMR spectroscopy combined with multivariate analysis can detect changes in the concentrations of some CSF metabolites in ALS, and highlights specific metabolic pathway perturbations.