Resources

The following is a curated list of resources I often recommend to our consulting clients. Select one or more niches/categories from the sidebar to filter the list.

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Glossary

Models:

LMs (“Linear Models”)

These are models where \(\E{\bm{y}}=\bm{Xβ}\). Normality is often assumed, i.e. \(\bm{y} \sim \Normal{\bm{Xβ}, \bm{Σ}}\).

LMMs (“Linear Mixed Models”)

These are models where \(\E{\bm{y}|\bm{α}}=\bm{Xβ+Zα}\), where \(\bm{α}\) are random-effects. Normality is often assumed, i.e. \((\bm{y}|\bm{α}) \sim \Normal{\bm{Xβ+Zα}, \bm{Σ}}\).

GLMs (“Generalized Linear Models”)

These are models where \(\bm{θ=Xβ}\), where \(\bm{θ}\) is some parameter of the distribution of \(\bm{y}\).

GLMs (“Generalized Linear Mixed Models”)

These are models where \(\bm{θ=Xβ+Zα}\), where \(\bm{θ}\) is some parameter of the distribution of \(\bm{y}\), and where \(\bm{α}\) are random-effects.