References & Resources
Recommended Readings:
Books
- Gbur, E.E., Stroup, W.W., McCarter, K.S., Durham, S., Young, L.J., Christman, M., West, M., and Kramer, M. (2020). Analysis of generalized linear mixed models in the agricultural and natural resources sciences (Vol. 156). John Wiley & Sons. [link]
- Gelman, A. and Hill, J. (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models (1st ed.). Cambridge University Press. [link]
- Milliken, G.A., & Johnson, D.E. (2009). Analysis of Messy Data Volume 1: Designed Experiments, Second Edition (2nd ed.). Chapman and Hall/CRC. [link]
- Stroup, W.W., Ptukhina, M., & Garai, J. (2024). Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd ed.). Chapman and Hall/CRC. [link]
Papers
- Dixon, P. (2016). SHOULD BLOCKS BE FIXED OR RANDOM?, Conference on Applied Statistics in Agriculture. https://doi.org/10.4148/2475-7772.1474
- Gelman, A. (2005). Analysis of variance—why it is more important than ever. Ann. Statist. 33 (1) 1 - 53. https://doi.org/10.1214/009053604000001048
- Schielzeth, H. and Nakagawa, S. (2013), Nested by design: model fitting and interpretation in a mixed model era. Methods Ecol Evol, 4: 14-24. https://doi.org/10.1111/j.2041-210x.2012.00251.x
Other
- WTF: What They Forgot to teach you about R
- This blog post on troubleshooting
lme4 - This FAQ blog post on GLMMs
Credits
We are thankful for the following resources that were very useful to build this website: