Sentence examples for model univariate regression from inspiring English sources

Crude model: univariate regression model, n = 406.

The linear model univariate regression analyses were performed before (Model 1) and after (Model 2) adjusting for relevant covariates (age, sex, BMI, smoking and hypertension).

MMP-2 and MMP-9 concentrations for the low, medium and high arsenic exposure metrics were analyzed by general linear model univariate regression followed by Bonferroni multiple comparison tests.

For each significant variable in the final models, univariate regression coefficients were within 0 50% of the corresponding multivariable coefficients, except for cruciferous vegetables, BMI group, and pregnancy status, which were within 50 120% (data not shown).

Then, for each model, univariate PLS regression coefficients could be used to extract relevant features for the corresponding response.

For every incomplete variable the chained equations algorithm requires an imputation model, typically a univariate regression model, and an accompanying prior distribution for the model's parameter.

The alternative method, chained equations imputation [ 4, 6], is more flexible as it specifies a separate imputation model, typically a univariate regression model, for each incomplete variable and updates the missing data for each variable in turn.

The models then involve multivariate regression models in place of the univariate regression models associated with the classical path analysis.

All variables with a P-value < 0.1 determined by univariate regression model were entered into a multivariate logistic regression model.

Logistic regression was used to perform both univariate (regression model with one independent variable) and multivariate (regression model with more than one independent variable) analyses.

The variables that were considered to be significant based on the univariate regression model were selected and analyzed by the multivariate Cox regression model.