Sentence examples for multivariable regression in from inspiring English sources

We used multivariable regression in a population-based cross-sectional study, undertaken from 1994 to 1996, of 2537 Hong Kong Chinese residents aged 25 to 74 years with clinical measurements of ischaemic heart disease (IHD) risk, including HDL-cholesterol, ApoB, diabetes and obesity.

Multivariable regression in the presence of competing risk of death was used to assess the relative risk (RR) of revision for any reason (with 95% confidence interval (CI)).

Factors discovered to be significantly associated with sepsis were subsequently evaluated in a binary multivariable regression model in order to identify significant predictors of septic complications.

In order to explore this we used multivariable regression models in which we adjusted for a range of indicators of socioeconomic position and we explored the specificity of the association.

The ANN was observed to be a more powerful approach than the multivariable regression analysis in handling the non-linearity and complexity of the problem.

Variables were entered sequentially into the multivariable regression models in three different blocks.

Missing data were imputed using an iterative multivariable regression technique in Stata[ 29].

We next performed multivariable regression analysis in order to identify factors with independent associations with hs-TnT.

These analyses were followed by a set of 13 multivariable regression models in which the three measures of SES were mutually adjusted.

Subsequently, a multivariable regression analysis in combination with a backward selection strategy (α = 0.157), was performed to obtain the final model[ 13].

However, in multivariable regression only residence in LTC, and certain medical conditions were correlated with ADL impairment.