Sentence examples for multivariate analysis described from inspiring English sources

Following multivariate analysis described in Materials and Methods, two alternative models were proposed: (i) using continuously decreasing ADRB index (RR = 1.002, P = 0.049), age (15 29 vs. ≥30 years, RR1 = 3.3; 2–14 vs ≥30 years, RR2 = 12.2; P = 0.02 and P<0.001, respectively), and hemoglobin phenotype, or (ii) dichotomized ADRB index, age, and hemoglobin phenotype (Table 1).

Multivariate analysis (described above) will take the main confounding factors into account.

Therefore, H4K20me3, nuclear grade, ER, and HER2 status were used for the multivariate analysis described in Table  2.

One wild tree produced no healthy mature seeds, decreasing the sample size for seed mass (and also therefore the multivariate analysis, described below) to 28.

For the purposes of this paper, H/M thresholds associated with low-, intermediand- and high-risk for MCEs were defined to provide the basis for the multivariate analysis described below.

A test of the trend in utility values in relation to the NPRS levels was undertaken by fitting curves to the estimated mean values from the multivariate analysis described above.

Because the pathological subtypes are so highly associated with certain pathways they dropped out of the multivariate survival analysis described in Table 4 (see Methods) during model selection.

Selection of variables to be included in the multivariate analysis is described in the Methods section.

We computed the median nicotine concentration and interquartile range (IQR) to describe the data and performed multivariate analysis to describe nicotine concentration and its determinants.

Evidence of insulin therapy did not exclude patients but was adjusted for in multivariate models and used for stratified analysis (described below).

This report is to date, the first one using a multivariate analysis to describe separately the contribution of electrode insertion depth in addition to other factors on NRT thresholds values.