Lessons

1. Week 1: Statistics - Introduction, Linear models introduction
2. Week 2: ANOVA (Stats) and Categorical covariates
3. Week 3: Least squares estimation and Generalized linear models.
4. Week 4: Mixed Effect Models and Random Effects
5. Week 5: Bayesian inference and Bayesian applications
6. Week 6: Experimental Design and Deciding on a model, with some discussion of zero-inflated data
7. Previous exam review

Notes from our assigned textbook

• Generalized Linear Mixed Model - Intro

Generally useful notes

• List of Observation Models
• Statistics - Important Formulas

Statistics Assignments List

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