Sentence examples for mixed generalized linear from inspiring English sources
Mixed generalized linear models analyses will be used to identify predictors of the different outcomes.
The application of mixed generalized linear models has been satisfactorily used in multilevel analysis [ 24, 59].
Whereas mixed generalized linear models incorporate the random effects in the predictor, thus being most useful in data with superdispersion.
Nematode counts were analyzed using a Poisson mixed generalized linear model, in which a random sample effect was used to avoid the effects of overdispersion in the data.
For the categorical variable of recommended physical activity, mixed generalized linear regression models [ 38] were used to examine changes between baseline, 6-months and 12-months, adjusted for age, gender, education level, employment status, SEIFA and region.
Statistical analyses (mixed and generalized linear models) were performed with an α-threshold of 0.05.
To account for the nested structure of data due to different levels of data and time points, mixed effects generalized linear models will be used.
The use of the normal random effect ξ i on t (through the hazard function) is one way of introducing correlation within the ith cluster, and is similar to that in linear mixed effects or generalized linear mixed effects models.
Seven examples are given here, beginning with simple design-based remedies and progressing to more challenging examples including the model-based remedies of mixed-effects modelling, generalized linear mixed models, state-space models, and geostatistics.
Analyses regarding the effectiveness of the primary outcomes and secondary outcomes will be performed after six months of intervention by means of multilevel analyses (linear mixed model (LMM) or generalized linear mixed models (GLMM)) [ 55].
General linear mixed effect models (LMMs) and generalized linear mixed effect models (GLMMs) were used to control for repeated measures within years, social groups, breeding attempts, and individuals (where appropriate).
