We used a generalized linear mixed model (GLMM) with binomial errors and a logit-link function.
In the first step, we used a generalized linear mixed-effects model to assess the variables that influence macroptery.
We used a generalized linear mixed model (GLMM) to evaluate how relative abundance of each ungulate species differed across transects and seasons.
We used a generalized linear modelling framework to test our hypotheses that sex and season influence habitat selection in addition to habitat variables.
To assess the characteristics associated with sustaining an injurious fall, we used a generalized linear mixed model that included age-group, gender, location, number of days in the study, activity, attributed cause, and direction of fall (Table 3).
We used a generalized linear model with mortality rate as the dependent and site as the independent categorical variable, to analyze differences in livestock mortality rates among the four sites.
To determine the impact of ecosystem engineers on species richness of engineered-habitats, we used a Generalized Linear Mixed Model (SAS, GLIMMIX procedure) [40].
We used a generalized linear mixed modelling approach using SAS GLIMMIX procedure, and we specified a Poisson error distribution for lice on individual fish within a capture event.
We used a generalized linear mixed effects model, with 'nest' as a random factor to compare the information available to carers at mid- and late-nestling phases.
We used a generalized linear model (GLM) to analyze the influences of the differing doses of exercise training on HRV characteristics.
To test the effect of treatment, year, population and maternal symmetry on the proportion of anomalous hatchlings, and the proportion of eggs that hatched, we used a Generalized Linear Model (GLM) with binomial distribution and logit link.
