Sentence examples for multivariable estimates included from inspiring English sources

Multivariable estimates included all variables with displayed estimates in that column.

The univariable estimates include only the variable indicated in the model while multivariable estimates included all variables with displayed estimates in that column.

The estimate was barely insignificant when the multivariable model included only significant covariates from the univariate step (coefficient: –0.00046, 95% CI: –0.00095, 0.00003, p = 0.063).

Estimates from full multivariable models that included race/ethnicity interaction terms also indicated significant associations between MEP and obesity (OR = 1.12; 95% CI: 1.001, 1.26), overweight (OR = 1.12; 95% CI: 1.01, 1.24; p = 0.026), and BMI z-score (0.08-SD unit increase; 95% CI: 0.02, 0.14; p = 0.008) among non-Hispanic blacks.

An initial multivariable model included all potential confounders, and final multivariable model was built using a backward selection method with 10% change-in-estimate criteria.

Note that our multivariable analyses included at mostsix predictors.

Multivariable analyses included variables (age and sex) determined a priori.

Multivariable analyses included linear regression using two different models.

For the final multivariable model, we included variables that individually changed the effect estimate by at least 3%% (n  = 9) and added additional variables that changed the estimate by 1%% by applying a forward selection procedure.

Regression coefficients were estimated for the multivariable model including all variables using the training sample, and risk scores were predicted for the remaining tenth subsample (the test sample).

Finally, the full multivariable model tested if AMI during follow-up influenced the estimates, and included AMI during follow-up as a time-dependent variable (model 5).