Sentence examples for multilevel models the from inspiring English sources

For the multilevel models, the dependence among the responses for the same mother can be quantified by the residual intraclass correlation, ρ, of the responses given the covariates [43].

Whereas the variability of the reliability coefficients between different samples within single studies (level 2) and the variability between studies (level 3) are estimated by multilevel models, the within-variability (standard error, level 1) must be calculated for each study using the standard error of the reliability coefficient and will be imputed in the multilevel analysis.

For multilevel models, the numbers of units at higher levels (ie, area and families) are also important.

Similar to the multilevel models, the propensity score analyses showed decreased odds for allogeneic or autologous transfusion (odds ratio 0.50, 95% confidence interval 0.45 to 0.55) and allogeneic transfusion (0.47, 0.42 to 0.53) in patients given tranexamic acid.

Although the median change in ST at the consecutive ST measurement points was higher with BL than with RUL electrode placement, in the multilevel models the interaction term of time*electrode placement was not significant.

In the multilevel models, the association between poverty and HIV infection is allowed to vary randomly at regional and country levels to establish the extent to which the observed overall patterns in the relationship between urban poverty and HIV infection varies between high and low HIV prevalence countries.

In this study, we present the multilevel model (the two-level and the three-level models) for summarizing single-case results over cases, over studies, or both.

In multilevel modelling the dependency structure in data is taken into account.

In a multilevel model the ORs are additionally adjusted for unobserved hospital-level characteristics via the random effect.

When the model is controlled for the variables that were significant in crude multilevel modeling, the VPC increased to 27.2% (Table  4).

In the context of multilevel modelling, the empty model provides an estimate of the basic partition of the variability in the data between the two levels.