Sentence examples for mixed regression settings from inspiring English sources

Missing outcome data requires no special treatment in mixed regression settings.

We use the mixed regression method proposed by Newey and West (1987) to regress Eqs.

Data were analyzed with mixed regression.

We evaluated our methodology in different ranking and regression settings.

Data were analyzed using a multivariable linear mixed regression model.

Breiman and Spector [5] report no improvement from executing stratified cross-validation in regression settings.

For instance, a mixed regression model that incorporates random effects may be appropriate.

Due to the heterogeneity of the data, meta-analyses and mixed regression modeling were not conducted.

(24) and (25), in order to weaken heteroscedasticity and sequence dependency that mixed regression may cause.

Different linear mixed regression models (PROC MIXED, SAS 9.4, SAS Institute Inc).

Statistical analysis was performed with a linear mixed regression model.