Sentence examples for multilevel models produce from inspiring English sources

Multilevel models produce cluster-specific ORs of hospitalisation (ie, effects measured within each cluster).

In addition, because we have an unbalanced design, multilevel modelling will produce efficient estimates of the model parameters and covariance components.

It is also important to keep in mind that the variance components in the mixed-effects models are super-population estimates for the random effects only while the multilevel model analysis produces finite-population estimates for all explanatory variables.

Unless otherwise noted, the complementary models produced similar estimates while likelihood ratio tests indicated superior model fit for the multilevel-models.

Multilevel models with binary outcomes have been shown to produce biased estimates [ 37] and the different estimation procedures used has different advantages, and disadvantages.

However, we still used multilevel models because they account for dependency between observations, and produce unbiased standard errors and more stable intercept and slope estimates (Myers 2011).

Multilevel models take into account dependence among cases from the same context to produce parameter estimates and standard errors that are more accurate.

brms: an R Package for Bayesian Multilevel Models Using Stan.

brms: an R package for Bayesian multilevel models Using Stan.

brms: an R package for Bayesian multilevel models using Stan.

Data were analyzed with linear multilevel models.