Time/Location: Wed, 9:00-11:00 (AQ 5014),
12:00-14:00 (Shrum 8218)
Syllabus (updated Jan 13)
Lecture slides
Jan 14: Introduction
Jan 21: Graphics (scripts)
Jan 28: Design
Feb 4: Linear models
Feb 11: Mixed models
Feb 25: Likelihood
Mar 4: Generalized linear models
Mar 11: Model selection
Mar 18: Bootstrap
Mar 25: Bayesian analysis
Apr 1: Causal inference
Workshops
Jan 14: Introduction to R,
Solution
Jan 21: Graphics,
Solution
Jan 28: Design,
Solution
Feb 4: Linear models,
Solution,
Demo
Feb 11: Mixed effects models,
Solution,
Demo
Feb 25: Likelihood,
Solution
Mar 4: Generalized
linear models,
Solution,
Demo
Mar 11: Model selection,
Solution
Mar 18: Bootstrap,
Solution
Mar 25: Bayesian analysis,
Solution
Discussion Papers
Jan 21: wainer-1984-137
Jan 28: hurlbert-1984-187
Feb 4: greenland-2016-337
Feb 11: schielzeth-2008-416 (Also, for background, read up to and including the section "Considerations when fitting random effects" in harrison-2018-4794)
Feb 25: etz-2018-60
Mar 4: zuur-2010-3
Mar 11: tredennick-2021-e03336
Mar 18: felsenstein-1985-783
Mar 25: ellison-2004-509
Apr 1: correia-2026-1981
Apr 8: tingley-2013-598
Assignments
1: Assignment 1 (due Feb 6)
2: Assignment 2 (due Mar 6)