Sentence examples for origin as a random from inspiring English sources

Potential sex and age differences in offspring and parental digit ratios in the correlative data from 2005 were examined using general linear mixed models, where age (fledgling or adult) and sex and their interaction were fitted as a fixed factors and nest of origin as a random factor to control for the resemblance of digit ratios between family members (Littell et al. 2006).

Litter of origin was included as a random effect to correct for clustering within litters.

Tank of origin was used as a random effect nested within mating treatment.

The association of yolk androgens (A4 and T) with the digit ratios of chicks was examined using general linear mixed models, where the nest of origin was fitted as a random factor to control for the within-brood resemblance of the digit ratios (Littell et al. 2006).

Individual ELISA results were included as response variables in the models and the location origin of rabbits was used as a random factor.

As explained above, FCM admixture proportions were compared using generalized linear mixed models within each Aegilops subset, according to the occurrence of individuals as 'close to wheat' versus 'distant from wheat' (the population origin of individuals was declared as a random covariable to remove its effects).

The distribution of Pwheat values was first compared using generalized linear mixed models within each Aegilops subset, according to the occurrence of individuals as 'close to wheat' versus 'distant from wheat' (the population origin of individuals was declared as a random covariate to remove its effects).

To test whether differences between world regions varied between receiving countries, we further included region of origin as random slopes in a subsequent model (not shown).

We focused on the variability between strains, neglecting their industrial origin and considering the strain effect as a random effect.

The effect of population (P > 0.39 in both origins) was included to the models as a random factor.* P < 0.05, n.s.= non-significant.

For each of the other biomarkers, a linear mixed effect model was fit for the biomarker expression, using the zone of origin as a fixed effect and patient as a random effect.