GLMM for ecologists and evolutionary biologists

This site is dedicated to compiling information on the practical use of generalized linear mixed models, primarily intended for ecologists and evolutionary biologists but also possibly of use to others with similar backgrounds and statistical challenges. We expect that the average reader of this site is:

  • primarily interested in using their data to answer (biological) questions
  • also concerned with convincing editors, reviewers, and Ph.D. supervisors that their answers are "real" (i.e. sometimes needing to compute appropriate p values)
  • wanting some reassurance that their answers are correct, at least as far as current statistical knowledge can tell
  • reasonably statistically sophisticated (to the point of knowing about generalized linear models (GLMs) and linear mixed models (LMMs), but not comfortable with enormous amounts of technical detail
  • able to use some reasonably full-featured statistical package (Genstat, SAS, R, Stata) but probably unable to code their own numerical integration routines

This website was developed in conjunction with a manuscript in Trends in Ecology and Evolution: Bolker, Benjamin M., Mollie E. Brooks, Connie J. Clark, Shane W. Geange, John R. Poulsen, M. Henry H. Stevens, and Jada-Simone S. White. 2009. Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution 24: 127-135.

Available now:

Some things that may show up here:

  • extended detail on the meta-analysis/lit review we did for the paper
  • extended comparison/discussion of available software tools
Unless otherwise stated, the content of this page is licensed under Creative Commons Attribution-ShareAlike 3.0 License