Mixed models in Ecology and Biology: beyond simple regressions

Participants  will be given a lecture(s) on the theoretical underpinnings of the technique, and then will be walked through multiple examples using code while they follow along.  The course coordinator is an ecologist (not a statstician) with a heavy bias in ecology and conservation, so students can expect examples to come from this applied field and for statistics to be interpretable in the language of biology/ecology rather than mathematics and statistics per se.  Participants are strongly encouraged to come armed with their own datasets (formatted for GLMs and imported to R already) as they will be able to analyze them in class on the second day.  Candidates must already have a strong knowledge of linear modelilng in R and a basic understanding of generalized linear models (GLMs) in R. In other words, this course is ideal for the intermediate level student in biological statistics.