a brief description of how model fitting works in lme4, including the need for different optimizers and why maximal models and gradient-based convergence tests interact poorly
Reformulation of standard tests as explicit regression, which allows for easier extension to the repeated-measures case.
A gallery of some potentially useful extensions to the GLM and "advanced" modelling techniques
An attempt to look at how Bayes and Frequentism differ from a slightly non-traditional perspective.
A common misapplication of statistical inference: nuisance control with null-hypothesis significance tests
Static simulation across various parameter settings for statfail