A non-random distribution is thought to result from the effects of acquired immunity.
The reason for fitting cage*sex as a non-genetic random effect, was to test whether social interactions in mink depend on sex.
However, on including gender as a covariate, minus the log-likelihood then fell from 63.44 to 62.10, giving a non-significant random effect (p-value of 0.052).
Moreover, tail length did not predict AOC while controlling for the effect of sex (F1,429 = 0.56, P = 0.456) in a mixed model with individual as a grouping random effect, after excluding the non-significant sex by tail length interaction (F1,448 = 3.16, P = 0.076).
This shows that ϕ* acts as a global non-spatial random effect, which influences the conditional expectation of any other random effect that corresponds to an areal unit with at least one edge removed.
Fluorescence was used as the response, mutant types as fixed effects, day as a random effect, and mutant by day interactions as random effects.
The RIL line was entered as a fixed effect and replication as a random effect.
To estimate the efficacy of ACV and of IDU, the non-linear mixed effect (NLME) model (logistic regression model, based on maximum likelihood method) fitting treatment as a fixed effect and study as a random effect, was performed.
Treatment was fitted as a fixed effect and subject as a random effect.
We treated lab style as a fixed effect and GTA as a random effect.
We can view the two random-effects model as a single random effect with covariance.
