Sentence examples for modelling these variables from inspiring English sources

We did repeat the analysis by modelling these variables as four-level categorical variables using the 25th, median, and 75th centile values as cut-points (data shown in Table 2).

We performed logistic regression analysis to model these variables against hospital mortality.

The adjusted ORs reported in Table 2 did not significantly change when we modeled these variables with SO2 or PM10.

We first modelled these variables univariately as correlates of treatment satisfaction and only those that were significant at p < 0.1 entered into the multiple regression model.

The adjusted ORs reported in Table 2 did not significantly change when we modeled these variables with SO2 or PM10 rather than NO2.

Another 14 studies (27.5%) attempted to model these variables in a non-linear manner but only did so for some measures (eg, just phosphorus) or merely dichotomized the variable rather than use multiple categories or splines.

There was insufficient variability in information preference (13 out of 154 patients wanted less than all news) and in detail (16 patients wanted 'some' information and 17 patients wanted 'a lot of' information) to model these variables meaningfully.

Our literature review shows that most studies found a significant relationship between serum levels of PTH, calcium, and phosphorus and mortality even though a sizeable number naively modeled these variables as linear predictors.

Our next study uses this cost-efficacy analysis as the basis to model these variables and reports the lifetime cost per quality-adjusted life-year for surgical therapy relative to conventional therapy trial populations.

This implies that 100 cases of asthma are needed to model these 10 variables.

However, when these decisions were forced in the final model, these variables did not change this later.