Finally, this was also confirmed in the multivariate model, wherein CB and HAM were independent predictors of frequent relapses.
All predictors and covariates were entered simultaneously in the final multivariate models.
As results for the crude and multivariate analyses were similar for all variables analyzed, we present here only those derived from the multivariate models.
This contrasted with earlier models wherein the random error was assumed to be constant over time.
Multivariate models yielded no significant associations between either n-6 or n-6:n3 ratio with any outcome response.
Similar multivariate models and simple correlations were also used to test for linear associations with omega-3 index.
Multivariate models over the entire population were fitted including a missing indicator variable for patients without BMI value.
Final multivariate models were adjusted for age.
This is helpful in models wherein extremes are vital.
Piecewise-constant AR models constitute a subset of TV-AR models wherein AR coefficients change abruptly.
