Sentence examples for multifactorial regression from inspiring English sources

Statistical models have revealed strong positive association between circulating leptin and SUA, and in multifactorial regression analyses serum leptin could explain 34-42% of the variance in SUA in both men and women in a hypertensive cohort of Turkish patients[101].

Multifactorial regression (i.e., regression with multiple independent variables but a single dependent variable) was based on linear or logistic regression with backward stepwise selection (P for removal 0.10).

Then all outcomes will be tested in comparison of the intervention and control group with multifactorial regression models on an intention-to-treat basis.

We identified 14 variables with a p-value below 0.2 in the univariate model, which were selected for the final multifactorial regression model.

Potential effect modification (confounding) due to any chance imbalance in pubertal status, age and sex will be counteracted by inclusion of these in a secondary analysis, using a multifactorial regression analysis.

The approach we use here is very similar to the classical approach based on multifactorial logistic regression, which consists of: Step 1: Choice of a model H0 against which the data is compared.

In conclusion, by studying the association between a limited panel of genetic variants and nephropathy risk, we developed a robust multifactorial logistic regression model to predict nephropathy in our study populations.

These data were analysed with a multifactorial linear regression model.

ANOVA, Fisher exact test, and multifactorial logistic regression were used to evaluate statistical significance.

Projections were obtained using statistical analyses: descriptive, multifactorial logistic regression and other statistical methods.

Multifactorial Cox regression analysis will be used to determine the prognostic factors of the survivals including PFS and OS.