Sentence examples for multilevel random intercepts from inspiring English sources
Person-level and county-level contextual variables were included in multilevel random intercepts models to understand predictors of CRC test modality, stratified by insurance type.
These measures were regressed on individual obesity status using multilevel random intercept regressions.
Corresponding to Generalizability Theory [ 22] we determined sources of measurement error by means of a multilevel random intercept model [ 23].
The multilevel, random intercept logistic regression model that we finally employed met these requirements accounting for both site- and matched-set correlations.
When adjusting for county of residence RR of mesothelioma, we used multilevel random intercept Poisson regression models accounting for the within-county variance component.
Multilevel (random intercept) linear regression models were calculated to investigate associations between socioeconomic position and CASP-12, containing individuals (Level 1) nested within countries (Level 2).
We therefore compared results from multilevel random intercept regression models, with patients nested in practices, with corresponding simple single level models.
First, we investigated whether the use of inverse population weights accounted for possible correlation among observations from the same tax parcel by running multilevel random intercept models designating the parcel as the grouping variable.
We used multilevel random intercept logistic regression models with adaptive quadrature, using the Generalized Linear Latent and Mixed Model (GLLAMM) procedure to quantify whether GP and practice characteristics were associated with long delays.
We combined the data sets for both phase 1 and phase 2 participants for this analysis: In addition to the multilevel random intercept, model 6 contains the terms "[HgCl2] ijk" and "var ijk" as explanatory variables.
Prescribing variability was evaluated using a multilevel random intercept logistic model, with patients (level 1) clustered within practices (level 2), adjusting for patient characteristics known to be associated with antibiotic prescribing.
