hello dear list!
as I am currently helping someone with their statistical analysis of a
count survey, I stumbled upon a very basic question upon model optimization:
when fitting a model like:
model-lmer(abundance~(x+y+z)^3,family=poisson,...)
in which x,y,z are continuous abiotic parameters
It will distort statistical inference to drop any terms on the basis of
P-values, AIC, etc..
If you drop terms, use the hierarchy principle.
High correlations between variables don't necessarily invalidate a test.
Frank
Sacha Viquerat-2 wrote:
hello dear list!
as I am currently helping
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