(Generalized) linear mixed models
(G)LMMs: a statistical modeling framework incorporating:
- combinations of categorical and continuous predictors,
and interactions
- (some) non-Normal responses
(e.g. binomial, Poisson, and extensions)
- (some) nonlinearity
(e.g. logistic, exponential, hyperbolic)
- non-independent (grouped) data
Coral protection from seastars (Culcita) by symbionts (McKeon et al., 2012)

Environmental stress: Glycera cell survival (D. Julian unpubl.)

Arabidopsis response to fertilization & herbivory (Banta et al., 2010)
