Contents
What is temporal pseudoreplication?
g) Temporal pseudoreplication occurs when multiple samples are taken from each experimental unit sequentially over time, and the sampling dates are taken to represent replicated treatments.
How do you find experimental units?
experimental unit, in an experimental study, a physical entity that is the primary unit of interest in a specific research objective. Generally, the experimental unit is the person, animal, or object that is the subject of the experiment.
What is an example of experimental unit?
If animals are group housed in a cage and all animals within that cage receive the same treatment, for example in the drinking water or diet, then the experimental unit is the cage of animals.
Are experimental units always people?
Specifically, the experimental unit would be individual subjects during the period when the intervention was expected to work. Individual measurements would not serve as the unit because they are not independent.
How is pseudoreplication treated in a GLMM model?
Pseudoreplication may be dealt with by applying a generalized linear mixed-effects model (GLMM) (Pinheiro & Bates 2000; Bolker 2008; Zuur et al. 2009; Zuur, Saveliev & Ieno 2012; Zuur, Hilbe & Ieno 2013 ).
Is the GLMMs an extension of generalized linear regression?
Alternatively, you could think of GLMMs as an extension of generalized linear models (e.g., logistic regression) to include both fixed and random effects (hence mixed models). The general form of the model (in matrix notation) is:
When does Pseudoreplication occur in a single cell experiment?
There are two types of pseudoreplication commonly occurring in single-cell experiments: simple and sacrificial. Simple pseudoreplication occurs when “samples from a single experimental unit are treated as replicates representing multiple experimental units” 4, 5, 6.
Is the interpretation of GLMMs the same as GLMs?
The interpretation of GLMMs is similar to GLMs; however, there is an added complexity because of the random effects. On the linearized metric (after taking the link function), interpretation continues as usual. However, it is often easier to back transform the results to the original metric.