Sentence examples for multilevel mixed model from inspiring English sources

It is anticipated that this will be implemented using a multilevel (mixed) model for binomial or continuous responses as appropriate.

Because of the hierarchical structure (GPs nested within practices), we performed a linear multilevel (mixed model) analysis.

A Cox regression model with cluster as a random effect will be performed as well as a multilevel mixed model analysis based on Poisson regression.

Fitting the selected variable on the multilevel mixed model, the intra cluster correlation coefficient was calculated and only 4.5% of the variance in the PSQI score was attributed to the group level variation.

First, we will fit an autoregressive multilevel mixed model (MLM; [ 58]) to burst data to establish a lagged association between daily stress and ambulatory cognitive function, controlling for current stress, fatigue, mood, and other momentary covariates.

Multilevel mixed models revealed only weak variation at the cohort-level in either response variable; hatching success and fledging success accounted for none or less than 2% of the total variation in trip-durations made during the incubation and early chick stages, respectively.

Multilevel mixed modelling will be used to examine changes in the primary outcome measures: gambling symptom severity, using the Gambling Symptom Assessment Scale, and gambling behaviours (frequency, time and expenditure).

According to multilevel mixed models, the decrease by month in the number of nighttime (P for interaction group X month = 0.012) but not day-time hot flushes (P for interaction group X month = 0.61) was significantly larger in the intervention group than in the control group (Table III; Figure 2).

The analysis of longitudinal differences in outcome will use two complementary statistical approaches: multilevel (mixed) modelling (MLM) and growth mixture modelling (GMM) as applied to randomised preventative interventions by Muthén [ 47].

To access longitudinal changes of FEV1 (often called FEV1 "slope") between the intervention and control community, we applied SAS's Proc Mixed procedure, which admits missed values, to build multilevel mixed models by adjusting for confounding and clustering effects.

Comparisons for the primary and secondary variables were carried out by multilevel mixed modeling with the SAS procedure GLIMMIX for categorical variables and the SAS procedure MIXED for quantitative variables (SAS Institute Inc., Cary, NC).